Python Engineer (GenAI & LLM Orchestration

• 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., * 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.

We are looking for a highly skilled Senior Python Developer with experience in generative AI to join our team. We build AI-driven products, where you'll develop and ship Python services and LLM features (including RAG, tools, and agents) on a daily basis - while leveraging AI across your entire workflow, from development to delivery. If you have a passion for AI and experience in building innovative solutions, we would love to hear from you., * 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 (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).

Let's work together to build a better future for everyone!