Senior Python Engineer, GenAI & LLM Orchestration

🕒 May 16

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Provectus

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

📋 Description

• 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).

🏖️ Benefits

• 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.

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