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)
Requirements:
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
Job description
Join us at Provectus as part of a team dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
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.
Let's work together to build a better future for everyone!
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);
