Senior Python Engineer (GenAI & LLM Orchestration) (Madrid)

Senior Python Engineer (GenAI & LLM Orchestration) (Madrid)

11 ago
|
Provectus
|
Madrid

11 ago

Provectus

Madrid

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)
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 versátil 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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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📌 Senior Python Engineer (GenAI & LLM Orchestration) (Madrid)
🏢 Provectus
📍 Madrid

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