Companies Provectus Senior Python Engineer (GenAI & LLM Orchestration)

About the role

Provectus

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.
  • Ready to apply to Provectus?
    Apply to Provectus
    Apply now
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