provectus Senior Python Engineer (GenAI & LLM Orchestration) Show 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 (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). What 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.