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Python AI Engineer

  • Almaty
  • Astana
  • Belgrade
  • Cluj-Napoca
  • Dnipro
  • Kharkiv
  • Krakow
  • Kyiv
  • Larnaca
  • Lodz
  • Lublin
  • Lviv
  • Monterrey
  • Montevideo
  • Odesa
  • Remote.AR
  • Remote.Brazil
  • Remote.Bulgaria
  • Remote.Colombia
  • Remote.Georgia
  • Remote.Kazakhstan
  • Remote.Poland
  • Riga
  • Rosario
  • Sofia
  • Tbilisi
  • Varna
  • Warsaw
  • Wroclaw
  • Yerevan
Hot vacancyMedium team (10-20 people)

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Client

Our client is a global asset, investment, and financial product management company operating across the United States and over 40 other countries.

Join a great company, not merely an individual project

Position overview

As an AI Software Engineer, you will design, develop, and optimize advanced AI applications leveraging AWS Bedrock services and cutting-edge architectures. Your role will focus on building intelligent systems for extracting insights from financial and unstructured data, developing scalable APIs, and implementing modern approaches such as GraphRAG for knowledge retrieval. You will ensure robust backend performance with FastAPI, maintain comprehensive test coverage, and drive efficiency in production environments by optimizing model performance, cost, and latency.

Responsibilities

  • Design and implement AI-driven applications using AWS Bedrock services.
  • Develop intelligent solutions for processing financial documents and unstructured data.
  • Build high-performance backend services with Python and FastAPI, ensuring strong test coverage.
  • Implement GraphRAG architectures to improve reasoning and knowledge retrieval.
  • Create scalable API endpoints for model serving and conversational interfaces via Converse API.
  • Optimize performance, cost, and latency of deployed models in production.
  • Integrate workflows with multi-agent AI systems (e.g., LlamaIndex, LangChain, LangGraph, LangFlow, Strands Agents).
  • Develop automated test pipelines with unit, integration, and load testing coverage.
  • Implement evaluation frameworks for AI systems, ensuring quality and efficiency.
  • Work with knowledge graphs and vector databases (e.g., OpenSearch, Neptune Analytics) for enterprise applications.

Requirements

  • 4+ years of experience in AI/ML services and backend development with Python.
  • Strong expertise in FastAPI and RESTful API design.
  • Hands-on experience with multi-agent AI workflows (LlamaIndex, LangChain, LangGraph, LangFlow, Strands Agents).
  • Proficiency in Python testing frameworks (unittest, pytest, testcontainers) and load testing (Locust).
  • Experience building and deploying Converse API interfaces.
  • Proven knowledge of RAG and GraphRAG architectures.
  • Strong proficiency with AWS Bedrock services for model deployment and integration.
  • Experience with knowledge graphs and vector databases (OpenSearch, Neptune Analytics).
  • Ability to design integration tests with TestContainers for database and service dependencies.
  • Practical experience with automation pipelines and coverage metrics.
  • Understanding of token optimization and cost management in AI services.

Nice to have

  • Experience with FastMCP for high-performance APIs.
  • Background in applying AI solutions in financial services or regulated industries.
  • Familiarity with hybrid systems combining rule-based approaches and AI models.
  • Experience with multi-modal AI models and asynchronous Python patterns.
  • Strong skills in API optimization and performance tuning.
  • Knowledge of API gateway architectures and microservices.
  • Bachelor’s degree in Finance, Economics, Statistics, Computer Science, or related field.

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We offer

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Vacation

As per the laws of your country. We do ask you to take a proper rest

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Health insurance

We help you to take out an insurance policy for you and your loved ones

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Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

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Time off for state holidays

According to the official calendar, regardless of the client’s schedule

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Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

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Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract

FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

Learn more about what we do here.

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

Learn more about how we work here.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

Read more about our culture and values.

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

Learn how we support both newcomers starting their careers and experienced professionals looking to grow further.

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

Read more about how things work at DataArt.

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

Read more about development in DataArt.

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

Explore how we support your growth.