Remote 💻 Development Jobs

Candidate's Responsibilities

• Ensure the security of company IT infrastructure, including networks, systems, and cloud environments
• Monitor and maintain security controls to prevent unauthorized access
• Manage vulnerability detection, risk assessment, and mitigation processes
• Oversee implementation of security policies and best practices
• Conduct regular security audits and infrastructure reviews
• Manage user access rights across internal systems and tools
• Implement and maintain role-based access control (RBAC) policies
• Monitor access provisioning and de-provisioning processes
• Ensure timely revocation of access for terminated employees
• Maintain access logs and perform periodic access reviews
• Monitor systems for suspicious activities and potential security threats
• Investigate unusual employee behavior related to system access
• Detect insider risks and potential policy violations
• Analyze security alerts and escalate incidents when necessary
• Coordinate incident response and post-incident analysis
• Develop and enforce internal security policies and procedures
• Ensure compliance with security standards and regulatory requirements
• Support internal and external security audits
• Maintain security documentation and reporting
• Promote security awareness within the organization
• Work closely with IT, HR, Legal, and Compliance teams
• Support HR in access control during employee lifecycle events
• Assist Risk and Fraud teams with internal investigations
• Coordinate with external vendors and security providers

Candidate Requirements

• 3+ years of experience in IT Security / Information Security
• Strong understanding of infrastructure security principles
• Experience with access management and identity control systems
• Knowledge of network security, endpoint protection, and monitoring tools
• Experience investigating security incidents and suspicious activity
• Understanding of insider threat detection practices
• Familiarity with cloud security environments (AWS, GCP, Azure — a plus)
• Strong analytical and problem-solving skills
• High level of integrity and confidentiality
• Good English (written and spoken)

Working Conditions

• Remote work format
• Competitive compensation package
• Opportunity to build and improve security processes
• Professional and supportive team environment
• 21 working days of paid vacation
• Career growth opportunities in a fast-growing international company

What you'll do:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

Who you are:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

Requirements:

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

Responsibilities

• Develop and maintain backend services for a web application
• Build integrations with external data sources/destinations (HTTP APIs)
• Fix bugs, handle incidents, and work with technical debt
• Optimize database queries and overall performance (identify and remove bottlenecks)
• Participate in designing mid-sized features and collaborate with QA/Analysts
• Perform code reviews and support junior developers
• Move toward AI-assisted development (vibe coding): generate/refactor code, write tests and documentation with AI tools, with mandatory validation (testing, review, architectural consistency)

Requirements

• 2–3 years of commercial software development experience
• Strong Python or JavaScript skills (backend)
• Hands-on experience using AI tools for coding and understanding how to validate and safely ship AI-generated output
• Database experience: SQL, PostgreSQL (ClickHouse is a plus)
• Solid understanding of HTTP and integration patterns
• SQL query optimization skills
• Ability to work independently in situations with some uncertainty
• Location: outside of Russia

Nice to Have

• Experience with profiling and performance tuning
• Production experience with data pipelines/integrations
• Familiarity with reliability practices: logging, monitoring, alerting

What We Offer

• Remote-first environment
• Strong product/market fit: marketing data product for US-based enterprises
• 20 working days of PTO per year
• US holidays and additional days off
• Extremely fun & open startup environment
• Professional development reimbursement
• Clear growth path toward team leadership

Who You Are

You are a Developer with 2–3 years of experience who is ready to work in an AI-assisted format: using AI tools to speed up development while maintaining quality through architecture, tests, code reviews, and proper validation. You are eager to learn, experiment, and help shape how we work—while staying grounded in quality, reliability, and maintainability.

Tech Stack

Python, JavaScript, SQL, PostgreSQL, ClickHouse (plus), HTTP APIs

Team Description

You will be part of a fast-growing Series A startup that is in the middle of an engineering transformation—adopting modern practices, improving our delivery process, and scaling AI-assisted development in a responsible way.

Job Description

Responsibilities

• Design, develop, and optimize business systems related to Oracle, supporting high-concurrency data processing scenarios.
• Participate in microservices architecture development, building distributed systems based on Spring Cloud, Dubbo, and related technologies.
• Collaborate with the database team on database schema design, SQL optimization, and stored procedure development.
• Write technical documentation, ensure code quality, and assist in system deployment and operations.

Qualifications

• Bachelor's degree or above, with 3+ years of Java development experience.
• Proficient in JVM, multi-threading, and network programming.
• Strong expertise in Spring Boot, MyBatis, and other frameworks.
• Familiar with database development and SQL tuning.
• Experience with distributed systems and message queues (Kafka/RocketMQ) is a plus.
• Responsible, with excellent teamwork and problem-solving skills.

What you'll do:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

Who you are:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

We’re looking for someone with experience in:

• Vision transformers, layout models, and OCR systems
• Structured extraction from complex documents
• RAG for document-heavy workloads
• Optimizing LLM pipelines for cost, accuracy, and throughput
• Deploying and benchmarking models in real production systems

Required Experience:

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

About the Role

The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.

Responsibilities

• Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
• Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
• Design and maintain data models that consolidate data from multiple marketing platforms and sources.
• Map and document data flows across complex, multi-source schemas.
• Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
• Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
• Manage and enhance data transformations with dbt.
• Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
• Use Git for version control and collaboration.

Must Have Qualifications

• Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
• 3+ years of SQL experience.
• Proficiency with AI tools and ability to integrate them into daily workflows.
• Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.).
• Understanding of data modeling principles (star schema, dimensional modeling).
• Understanding of ELT/ETL concepts and debugging data transformation logic.
• English C1 level with excellent written and verbal communication.
• Ability to communicate directly with clients and stakeholders.
• Takes ownership and responsibility for their work and results.
• Can present their work and insights confidently to clients.
• Consistently checks their own work for quality, accuracy, and completeness before delivery.
• Strong analytical skills, proactive problem-solving, and close attention to detail.
• Comfortable with ambiguity and able to drive clarity with clients and internal teams.
• Hands-on experience with QA/UAT processes.

Nice to Have

• Knowledge of Google Analytics (for business understanding).
• Knowledge of Google Analytics Data Streams.
• Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.).
• Understanding of Marketing Mix Modeling (MMM) concepts.
• dbt experience in analytics workflows.
• Python or other scripting language for data analysis and automation.
• Experience with data quality frameworks or data observability tools.
• Familiarity with marketing attribution models.

What We Offer

• Remote-first environment
• Strong product/market fit: marketing data product for US-based enterprises
• 20 working days of PTO per year
• US holidays and additional days off
• Professional development reimbursement

What you'll do:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

Who you are:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

We’re looking for someone with experience in:

• Vision transformers, layout models, and OCR systems
• Structured extraction from complex documents
• RAG for document-heavy workloads
• Optimizing LLM pipelines for cost, accuracy, and throughput
• Deploying and benchmarking models in real production systems

Required Experience:

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

О вакансии

Мы ищем backend-разработчика в команду Core Team. Команда занимается внутренними сервисами, общими для всех продуктов Kolesa Group: авторизация, платежи, хранение и раздача файлов, обработка фотографий, инфраструктурные утилиты и многое другое.

Стек технологий

• Golang
• Kubernetes
• MongoDB
• Git
• Go
• PHP
• Clickhouse
• Asterisk
• Docker
• Linux
• Elasticsearch
• Redis
• MySQL
• Nginx

Тебе предстоит

• Разрабатывать и развивать ключевые межпродуктовые сервисы Kolesa Group: сервис единой авторизации, платежный шлюз, объектное хранилище, фотостек (resizer, preresizer, CDN), системы внутренней телефонии, интеграция с внешними сервисами (SMS, email, push-уведомления и т.д.), интеграция с государственными сервисами (smartbridge).
• Повышать надёжность, производительность и масштабируемость систем — от проектирования архитектуры до сопровождения в продакшене;
• Работать в тесной связке с другими командами: продуктовые команды, ML-инженеры, системные администраторы, hr, бухгалтера;
• Участвовать в техническом дизайне, планировании задач, ревью кода и CI/CD процессах;
• Поддерживать devops-культуру: автоматизация, мониторинг, логирование, алерты — это всё про нас;
• Писать качественный, протестированный код и не бояться отвечать за него на проде.

Мы ждем от тебя

• Знакомство с базами данных, понимание принципов их работы. Мы используем Mysql, Mongodb, Redis, Elasticsearch, Clickhouse, Scylladb (cassandra)
• Понимание инфраструктуры и окружения, в котором выполняется код: Linux, Docker, Nginx, Kubernetes, Аnsible, Opensips, Аsterisk;
• Владение инструментами мониторинга для поиска, решения и предотвращения проблем;
• Умение и желание писать тесты на свой код;
• Владение git, понимание процессов сборки и деплоя. Мы используем Github Enterprise;
• Умение давать оценку сроков выполнения задач и соблюдать их, вовремя сигнализировать о проблемах;
• Бескомпромиссный подход к решению проблем и устранению их причин;

Будет преимуществом

• Опыт работы с Kubernetes, Asterisk, PHP;
• Понимание микросервисной архитектуры, подходов к межсервисному взаимодействию;
• Опыт проектирования и реализации высоконагруженных сервисов.

Что мы предлагаем

• Соцпакет на выбор: здоровье, образование, билеты и т.д.
• Рост all inclusive: грейды, индивидуальные планы развития, менторство
• Программа релокации: помогаем иногородним сотрудникам в переезде
• Обучение: участие в митапах, конференциях и тренингах
• Корпоративная культура и тематические мероприятия
• Онлайн-библиотека: доступ к огромной tech-библиотеке
• Языковые курсы: курсы от компании-партнёра
• Пополнение личного кабинета на сайтах Kolesa.kz и Krisha.kz
• Скидки на фитнес, lamoda, skillbox, skyeng, geekbrains и т.д.

Job Responsibilities

• Advanced post-training of large language models (e.g. SFT, RLHF/RLAIF, continual pretraining).
• Aligning models for reliable JSON-schema function calls and external tool usage.
• Design, deploy, and operate Model Context Protocol (MCP) servers that handle checkpoint routing, manage context windows, and enforce safety gates.
• Experience in distributed training and inference with DeepSpeed/FSDP, LoRA/QLoRA, mixed precision, and performance tuning on vLLM or Triton clusters.
• Build offline and live eval pipelines for alignment, factuality, grounding, and hallucinations.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in developing and optimizing large language models.
• Proven track record in implementing advanced post-training techniques (SFT, RLHF, RLAIF, continual pretraining).
• Hands-on experience with distributed training frameworks (DeepSpeed, FSDP) and optimization techniques (LoRA, QLoRA, mixed precision).
• Familiarity with model alignment, JSON-schema function calls, and external tool integration.
• Experience in building and maintaining evaluation pipelines for model performance assessment.
• Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow).
• Strong understanding of distributed systems and high-performance computing.
• Experience with model deployment and inference optimization on vLLM or Triton clusters.
• Knowledge of JSON-schema and API development.

SpeakUp is an AI-powered matching app that connects event organizers, media teams, journalists, and podcasters with verified speakers and experts – instantly and commission-free.

Built for the global speaking and media industry, SpeakUp replaces fragmented workflows with a single, intelligent platform where opportunities and talent meet transparently.

Role Description

This is a remote contract role for a Backend Developer specializing in Python, FastAPI, and PostgreSQL. We are looking for a Backend Developer to help scale our backend services and APIs. You will work on integrating AI-powered features, improving performance, and building scalable backend services for a growing global platform.

This role is ideal for someone who enjoys working with modern Python backend stacks, APIs, and distributed systems.

Qualifications

• 3+ years of backend development with Python
• Tech Stack: Python, FastAPI, PostgreSQL, Redis, Docker, AWS (SES, S3), WebSockets, GitHub
• Experience with API design and microservices architecture is highly advantageous
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience

Nice to Have

• AWS experience
• Integrating machine learning or AI services
• OAuth integrations (LinkedIn, Google)

Responsibilities

• Develop and maintain backend services using Python and FastAPI
• Design and improve REST APIs and WebSocket services
• Integrate external services (AI models, payments, notifications)
• Optimize backend performance and database queries
• Work with PostgreSQL and Redis for data storage and caching
• Contribute to scalable backend architecture and microservices
• Collaborate with the product and frontend teams

What We Offer

• Work on a global AI startup product
• Location: Remote
• Contract-based collaboration ~20 hours/week for 2–3 months
• Competitive hourly rate depending on experience

Responsibilities

• Guide the team effort on the deployment of Benchling and adoption of existing R&D flows to this system to ensure regulatory compliance
• Configure and customize the Benchling Developer Platform
• Install and set up Benchling applications, including relevant modules
• Migrate appropriate data from existing legacy system to Benchling platform
• Manage user accounts, roles, and access permissions
• Build and maintain integrations with other enterprise systems via the Benchling API
• Handle data import/export processes, ensuring accuracy and compliance
• Monitor and manage API usage and rate limits
• Collaborate with scientists and IT to optimize workflows in Benchling

Requirements

• Hands-on experience with Benchling platform (e.g., Notebook, Registry, Inventory, Workflows, Insights, Connect, and Benchling apps) configuration and administration
• Familiarity with API-based integrations and system interoperability
• Practical knowledge of data handling (import/export) in Benchling
• Strong understanding of rate limits and API performance tuning
• Strong understanding of GxP and GAMP regulations and their application in a software environment
• Flexibility in working in CET (Central European Time zone) and EST (Eastern Standard Time)

Nice to have

• Software development experience (Python, Java, or C#)
• Knowledge of relational databases (SQL)
• Prior experience in a biological or chemical laboratory environment
• Exposure to laboratory informatics systems (LIMS, ELN, SDMS)
• Familiarity with regulatory frameworks (e.g., GxP, FDA 21 CFR Part 11, ISO 13485)

Benefits

• Strong management and technical expertise
• Depending on location and contract, additional benefits can be applied (health insurance, continuous education, mentoring, and professional development programs)
• Remote work
• Flexible working hours

Job Description

Responsibilities

• Analyze order execution on several exchanges using the database.
• Test hypotheses related to execution delays on several exchanges.
• Improve understanding of exchange mechanics and order execution.
• Conduct load testing along with other ways of hypotheses validation.

Requirements

• STEM degree from one of top-tier universities OR proven track of success as Data Analyst/Researcher/Data Scientist.
• Advanced understanding of probability, statistics, math and algorithms.
• Strong analytical skills for working with large datasets.
• Confident, hands-on level of Python and common libraries (pandas, polars, etc).
• Deep understanding of basic Research pipeline along with readiness to present the results to the team.

Nice to Have

• Personal achievements such as ICPC, IMC, IOI, codeforces red+, Kaggle, etc.
• Published articles in a field of Data Science (Q1-Q2).
• Pet-projects or open-source repositories dedicated to trading, finance or quantitative field.

Benefits

• Result-oriented bonuses along with extraordinary salary.
• Transparent processes and lack of red-tape.
• Competitive environment with an opportunity to make decisions and change the company.
• One of the best level of expertise on the market.

Who You Are

You are a motivated individual with strong analytical skills, a solid understanding of data science principles, and a passion for research in the finance and trading sectors.

Tech Stack

Python, pandas, polars, and other common libraries for data analysis.

Team Description

You will be part of a dynamic team focused on deep research and analysis, working collaboratively to enhance understanding of exchange mechanics and improve execution strategies.

Responsibilities

• Develop high-quality Android applications using the Android SDK
• Collaborate with cross-functional teams to gather requirements, design, and develop features
• Write clean, maintainable, and well-documented code
• Troubleshoot and debug issues, providing timely resolutions
• Participate in project planning, estimation, and delivery timelines
• Stay up-to-date with the latest trends and best practices in Android development
• Contribute to the improvement of development processes and methodologies

Requirements

• 5+ years of experience in developing Android applications
• Strong experience developing applications using the Android SDK
• Proficiency in Kotlin and Java
• Experience with RxJava, EventBus, Dagger, Retrofit, and OkHttp
• Knowledge of MVVM and MVP architecture (including Moxy)
• Experience with Gson, JUnit, and Mockito for testing
• Solid understanding of OOP principles and data structures
• Strong knowledge of REST API integration
• Experience with Git for version control
• Good spoken English

Benefits

• Vacation as per the laws of your country
• Health insurance for you and your loved ones
• Sick pay: 10 days without a doctor's note, afterwards as per the laws of your country
• Time off for state holidays according to the official calendar
• Pleasant environment with corporate parties and small get-togethers
• Comfort service for solving technical and everyday problems at work

What you'll do

You will develop modern mobile banking applications that allow users to manage accounts, make transfers, and pay bills on the go.

Who you are

You are an experienced Android Developer with a strong background in Kotlin and modern Android development practices, looking to contribute to a significant project in a collaborative environment.

Tech Stack

• Android SDK
• Kotlin
• Java
• RxJava
• EventBus
• Dagger
• Retrofit
• OkHttp
• Gson
• JUnit
• Mockito

Team Description

You will be part of a big team (20+ people) working directly from the client's office in Nicosia, collaborating with cross-functional teams to deliver high-quality mobile banking solutions.

Responsibilities

• Design and implement an evaluation strategy for AI agents within the Databricks environment.
• Apply data science methodologies to assess model and agent performance, reliability, and business relevance.
• Contribute to MLOps workflows supporting the development and deployment of AI agents.
• Contribute to AI solution refinement through experimentation, validation, and optimization.
• Prepare and deliver client demos, including presentation preparation, demo planning, and showcasing AI use cases.
• Perform basic domain research (chemistry-related) to support demo preparation and solution demonstrations.

Requirements

• Strong Python engineering skills, including writing production-quality code and tests.
• Experience building and integrating REST APIs (e.g., FastAPI/Flask) for AI services.
• Practical experience with LLM agents / agentic workflows, including state management, tool/function calling, iterative execution, and output validation/guardrails.
• Familiarity with core ML tooling (e.g., NumPy, scikit-learn, PyTorch) sufficient to support experimentation and validation.
• Experience working with data stores (SQL databases such as PostgreSQL/MySQL, object storage such as S3, and/or NoSQL).
• Working knowledge of MLOps / LLMOps: experiment tracking, versioning, CI/CD for AI workflows, and deployment/monitoring basics.
• Experience designing evaluation and QA frameworks for LLM/agent outputs (quality, accuracy, consistency), including offline test sets, metrics, and regression testing.
• Hands-on experience building production LLM applications and agents (RAG, multi-step reasoning, tool/function calling, MCP).
• Experience working with Databricks.
• Experience working with Docker.
• English level B2+.

Nice to have

• Experience with cheminformatics (e.g., molecular fingerprints, chemical descriptors, RDKit, molecular similarity search).
• Experience working on healthcare or life sciences projects.

Benefits

• Competitive compensation
• Remote or office work
• Flexible working hours
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs
• A team with excellent tech expertise
• Certifications paid by the company

Job Description

Job Responsibilities

• Deliver production-quality features at a speed and scale that traditional teams cannot match.
• Apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Contribute to the new engineering culture built on AI-First principles.

Requirements

• Proven track record of delivering production-grade products using an AI-driven approach.
• Mastery in using AI tools (e.g., Copilot, Cursor, WindSurf, GPT APIs, LLMs) across the entire development lifecycle.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

Qualifications

• Experience in delivering high-quality, production-grade features faster than traditional teams.
• Ability to independently own the full lifecycle of feature delivery through AI-first methods.
• Experience in identifying and driving improvements in velocity, automation, and team efficiency.
• Mentorship experience in using AI as a multiplier across development.

Benefits

• Fully remote team with a global presence.
• Innovative environment using AI across all areas of the organization.
• Opportunity to reshape the $100B multilingual content industry.
• Join a rapidly growing company with plans to scale significantly.

Perks

• Work in a culture that highlights respect and appreciation for diversity.
• Encouragement to manage your own AI Agents and contribute to AI innovation.

What You'll Do

• Deeply understand the tech stack and delivery model within the first 30 days.
• Start shipping real features using AI at every stage of development.
• Become a key driver of the AI-First engineering standard inside the company.

Who You Are

• A fast-moving individual who takes ownership and is focused on delivering results.
• A collaborative team player who thrives in a remote work environment.

Tech Stack

• AWS
• .NET
• Python
• MongoDB

Team Description

You will be part of a core team that is proving AI-driven engineering is the future of software development, working alongside enthusiastic individuals across 30+ countries.

Job Description

What You’ll Do

Technical Leadership & Execution

• Own and evolve the architecture of PandaDoc’s mobile applications across different platforms (iOS, Android) on React Native
• Drive technical decisions and set standards for code quality, testing, performance, and cross-team integrations.
• Develop shared infrastructure, libraries, and components to be used across multiple teams.
• Improve developer experience, tooling, workflows, and CI/CD pipelines for mobile development.
• Collaborate with product managers, designers, and other engineering leads to translate product strategy into actionable engineering roadmaps.
• Balance tech debt and new feature development while maintaining high reliability and performance.

Team Leadership & Growth

• Lead and mentor a team of engineers, providing guidance on career growth, skill development, and technical challenges.
• Establish effective processes for team delivery, collaboration, and knowledge sharing.
• Set ambitious goals and help your team achieve them.
• Recruit, onboard, and retain top mobile engineering talent.

Cross-Functional Collaboration

• Work closely with track leadership to contribute to company- and track-wide initiatives.
• Partner with product, design, and QA teams to ensure the mobile experience aligns with PandaDoc’s strategy and customer needs.
• Drive continuous improvement across mobile engineering practices, ensuring efficiency and predictability.

About You

• 8+ years of engineering experience, with significant experience in mobile development and hands-on coding.
• Proven experience leading mobile architecture and cross-platform solutions (React Native, iOS, Android).
• Strong knowledge of React, TypeScript, modern JavaScript, and mobile development best practices.
• Experience building shared libraries, UI components, navigation frameworks, or developer tooling.
• Previously contributed to delivery processes and improving engineering efficiency.
• Strong interpersonal and communication skills; able to influence and mentor engineers.
• Experienced in working in a product organization, balancing business and technical priorities.
• Self-starter who thrives in a fast-changing environment and is customer- and product-focused.
• Hands-on problem solver who can balance technical execution with team leadership responsibilities.

Benefits

• Competitive salary and benefits
• 6 self-care days
• Professional growth and development opportunities
• Flexible work location

Join xData Group, a rapidly evolving fintech company, where we are developing innovative financial technology solutions that leverage cutting-edge AI technologies.

The company provides both front-end and back-end development of online banking systems, including the creation of custom software solutions and applications, UX/UI design, and testing of product prototypes and MVPs.

Responsibilities:

• Develop high-quality, scalable, and efficient Kotlin applications
• Write clean, well-designed, and maintainable code
• Collaborate with cross-functional teams to design, develop, and test software solutions
• Participate in code and design reviews to maintain code quality
• Ensure software solutions are tested, debugged, and deployed successfully
• Stay up-to-date with emerging trends and technologies in Kotlin development
• Continuously improve development processes and methodologies

Required qualifications:

• 5+ years of experience in Kotlin development
• Experience in the FinTech or banking industry is a must
• Strong understanding of object-oriented programming principles and design patterns
• Experience with Spring Framework and Hazelcast
• Experience with PostgreSQL
• Experience with GCP or other cloud-based platforms is a plus
• Knowledge of message queue systems like RabbitMQ or Apache Kafka
• Understanding of DevOps practices and tools (Jenkins, GitLab CI/CD)
• Fluent English

What we offer:

• An opportunity to work on cutting-edge AI-based fintech products
• Flexible work arrangements with 100% remote option
• A competitive salary and comprehensive benefits package
• A dynamic, supportive, and collaborative team environment
• Opportunities for continuous learning and professional development
• Paid Sick Leave
• Sport Benefits

Job Description

Responsibilities

• Engage with high-performance systems, ensuring seamless data transfer and processing, enabling real-time decision-making (trading algorithms execution, risk management, trade reporting, market data feed processing, etc.)
• Optimizing unique trading framework
• Developing and optimizing connectors to new or existing electronic markets.
• Architecture and development of parts of the core engine.
• Working with different kernel bypass solutions (onload, tcpdirect, ef_vi, dpdk).
• Writing efficient data structures to store stock market information.

Requirements

• Proficient in C++ (we use C++17/20) and algorithms
• Self-motivated, smart, and creative, prefer to be on the cutting edge of technology.
• Able to write code that works 24/7.
• Experienced in system and network programming in Linux.
• Advanced understanding of how the network stack works

Nice to have

• Personal achievements such as ICPC, IMC, IOI, codeforces red+, etc
• Pet-projects or open-source repositories

Benefits

• Result-oriented bonuses in line with extraordinary salary
• Transparent processes and lack of red-tape
• Competitive environment with an opportunity to make decisions and change the company
• One of the best levels of expertise on the market

Who you are

You are a proficient C++ developer with a strong understanding of algorithms and a passion for cutting-edge technology. You thrive in a competitive environment and are motivated to write efficient, reliable code.

Tech Stack

C++, Linux, Network programming, C++17/20, various kernel bypass solutions (onload, tcpdirect, ef_vi, dpdk).

Team Description

You will be part of the C++ Development team at Àlber Blanc Capital, working on systems where milliseconds matter and collaborating with top minds in the industry.

Job Responsibilities

• Conduct manual testing of UI and localization on both Android and iOS platforms;
• Estimate testing time and choose the right testing methodology;
• Identify issues and create bug reports using the bug tracker;
• Update and maintain test suites for assigned projects;
• Use Charles Proxy, Android Studio, and Console on a regular basis;
• Communicate with other departments regarding testing-related issues.

Requirements

• 1+ year of experience in manual mobile testing, on both iOS and Android platforms;
• Experience with Charles, Proxyman, or Fiddler;
• Experience with mobile log extraction tools: Android Studio, ADB for Android, Xcode and Console for iOS;
• Basic knowledge of push notifications;
• Understanding of MySQL syntax;
• English level of B1 or higher;
• Fluent Russian is required.

Will be a plus

• Experience in localization testing;
• Passion for gaming.

Benefits

• Full support in relocating to countries where our offices are located;
• High-end market salary with performance bonuses;
• All needed equipment;
• Regular company events and monthly Friday meetings;
• Social benefits (private medical cover, sports reimbursement, etc.);
• Paid vacations, sick days;
• English, Greek, and Polish online language classes;
• Reimbursement for education and professional development.

Responsibilities

• Engage with clients to understand their business requirements and provide expert advice on leveraging ML and AI technologies to solve their problems.
• Design end-to-end ML solutions that address client needs, considering factors such as data acquisition, preprocessing, feature engineering, model selection, and deployment.
• Architect scalable and reliable ML systems that can handle large volumes of data and real-time processing. Ensure the solutions are robust, secure, and scalable, taking into account performance, latency, and cost optimization.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts to deliver successful ML projects.
• Stay up-to-date with the latest advancements in ML, AI, and related technologies, identifying opportunities for innovation and differentiation.
• Conduct research and experimentation to explore new ML algorithms, techniques, and frameworks that can enhance the company's offerings.
• Present findings and results to internal teams and external stakeholders in a clear and concise manner.

Requirements

• 3+ years of experience as an ML Engineer or Data Scientist, either in academia or industry.
• Proficient in Python programming and experience with Python data science frameworks. Strong programming skills with proven experience in implementing Python-based machine learning solutions.
• Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn).
• Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter.
• Experience with LLM fine tuning.
• Solid knowledge of machine learning and deep learning fundamentals.
• Experience with transformer-based language models.
• Ability to interpret and implement research ideas and algorithms.
• Hands-on experience with relational SQL and NoSQL databases.
• Upper-Intermediate or higher level of English proficiency.
• Ability to work with external clients and strong communication skills, including presenting in webinars and conferences.
• Ability to mentor team members and assist in their professional development.
• Quick learner with the ability to adapt to new technologies, frameworks, and algorithms.

Nice to have

• Experience with designing complex multi-model and multi-modal ML applications and products.
• Solid foundation in development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models.
• Experience with cloud-based tools and technologies for data pipelining, model development, and deployment, particularly AWS (Amazon Web Services).
• Familiarity with AI/ML operational tools such as Airflow, MLFlow, H2O, etc.
• Experience with MLOps tools and frameworks like Jupyter Notebook, Kubernetes, Kubeflow, Spark, etc.
• Experience in building scalable AI/ML systems for continuous training automation, computer vision, natural language processing, or similar advanced AI/ML problems.
• Engineering experience in model tuning using CUDA/OpenCV, C++, low-level Python scripts, etc.
• Up-to-date publications in the areas of deep learning, distributed computing, bioinformatics, or other life sciences.
• Domain knowledge of biology and/or chemistry.

Benefits

• Competitive compensation.
• Remote or office work.
• Flexible working hours.
• Healthcare benefits: medical insurance and paid sick leave.
• Continuous education, mentoring, and professional development programs.
• A team with excellent tech expertise.
• Certifications paid by the company.