Senior Python Engineer (GenAI & LLM Orchestration)

About the Position

We are seeking a Senior Python Engineer with expertise in GenAI & LLM Orchestration to join our international team. Responsibilities include building and optimizing APIs, implementing RAG systems, and collaborating with cross-functional teams.

Responsibilities

• Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask.
• Implement and optimize Retrieval Augmented Generation (RAG) systems.
• Profile and optimize Python code to enhance performance.
• Collaborate with cross-functional teams, including ML engineers and product managers, to deliver high-quality products.
• Write clean, maintainable, and well-documented code.
• Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.

Requirements

• Strong proficiency in Python
• Solid understanding of OOP, design patterns, and clean architecture.
• Experience building RESTful APIs with FastAPI, Django REST, or Flask.
• Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock).
• Experience building RAG systems
• Proficiency with AI-assisted development (e.g., Claude Code, Cursor, Copilot).
• Experience with Docker and Kubernetes.
• Understanding of microservices and event-driven architectures.
• Experience with AWS (Lambda, ECS, Bedrock, S3, SQS).
• Proficiency with SQL (Postgres), NoSQL (DynamoDB, Redis), and vector databases.
• Strong testing practices: pytest, mocking, integration tests for AI systems.
• Experience with observability tools (OpenTelemetry, structured logging).
• English: Upper-Intermediate or higher.
• Excellent communication and problem-solving skills.

Nice to Have

• Experience with agentic frameworks (LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK).
• Familiarity with prompt engineering and management at scale.
• Experience with LLM evaluation frameworks (RAGAS, custom metrics, deepeval).
• Experience with Streamlit or Gradio for AI prototyping.
• Modern Python tooling (ruff, uv, pyproject.toml, pyright).
• CI/CD pipeline experience (GitHub Actions, GitLab CI).
• Experience in another language (Go, Node.js, Rust).

We Offer

• Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications.
• Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work.
• Long-term B2B collaboration.
• 100% remote - with flexible hours.
• Collaboration with an international, cross-functional team.
• Comprehensive private medical insurance or budget for your medical needs.
• Paid sick leave, vacation, and public holidays.
• Equipment and all the tech you need for comfortable, productive work.
• Special gifts for weddings, childbirth, and other personal milestones.

Interview Stages

• Recruitment Interview
• Tech interview
• HM Interview

We are waiting for you to become a part of our team!