Provectus
Senior Python Engineer (GenAI & LLM Orchestration)
TLDR
Collaborate with cross-functional teams to build and optimize APIs and Retrieval Augmented Generation systems using the latest AI tools and technologies.
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.
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.
Nice to Have:
Benefits
Health Insurance
Comprehensive private medical insurance or budget for your medical needs
Special gifts for personal milestones
Special gifts for weddings, childbirth, and other personal milestones
Paid Time Off
Paid sick leave, vacation, and public holidays
Provectus builds robust machine learning infrastructure and production-grade solutions that empower companies to leverage AI and transform their operations and competitive strategies. We cater to businesses facing complex ML challenges, delivering innovative technology that drives significant value and societal impact.
- Founded
- Founded 2010
- Employees
- 500+ employees
- Industry
- Professional Services
Senior Python Engineer