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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Python Engineer (Genai & Llm Orchestration) - **Company:** Provectus - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Multitier Architecture, Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Information Engineering, Cursor (Graphical User Interface Elements), Software Design Patterns, Django Web Framework, Amazon DynamoDB, Github, Python (Programming Language), PostgreSQL, Node.Js, NoSQL, Object-Oriented Software Development, Redis, Mockito, Cloud Services, SQL Databases, Data Logging, Flask (Web Framework), Large Language Models, Grafana, Prompt Engineering, Generative AI, Fastapi, Pytest, Gitlab-ci, Integration Tests, Restful APIs, Streamlit Framework, Amazon Simple Queue Service (SQS), Docker, Microservices - **Published:** September 9, 2026 - **Apply:** https://www.buscojobs.com.es/senior-python-engineer-genai-llm-orchestration-en-madrid-ID-369225866 ## About the Role 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) ## 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!ResponsibilitiesBuild and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or FlaskImplement and optimize Retrieval Augmented Generation (RAG) systemsProfile and optimize Python code to enhance performanceCollaborate with cross?functional teams, including ML engineers and product managers, to deliver high?quality productsWrite clean, maintainable, and well?documented codeStay updated with the latest developments in Python and AI technologies and propose innovative solutionsRequirementsStrong proficiency in PythonSolid understanding of OOP, design patterns, and clean architectureExperience building RESTful APIs with FastAPI, Django REST, or FlaskExperience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)Experience building RAG systemsProficiency with AI?assisted development (Claude Code, Cursor, Copilot)Experience with Docker and KubernetesUnderstanding of microservices and event?driven architecturesExperience with AWS (Lambda, ECS, Bedrock, S3, SQS)Proficiency with SQL (Postgres), NoSQL (DynamoDB, Redis), and vector databasesStrong testing practices: pytest, mocking, integration tests for AI systemsExperience with observability tools (OpenTelemetry, structured logging)English: Upper?Intermediate or higherExcellent communication and problem?solving skillsNice to HaveExperience with agentic frameworks (LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK)Familiarity with prompt engineering and management at scaleExperience with LLM evaluation frameworks (RAGAS, custom metrics, deepeval)Experience with Streamlit or Gradio for AI prototypingModern 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 OfferParticipate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certificationsWork with the latest AI tools, premium subscriptions, and the freedom to use them in your daily workLong?term B2B collaboration100% remote - with flexible hoursCollaboration with an international, cross?functional teamComprehensive private medical insurance or budget for your medical needsPaid sick leave, vacation, and public holidaysEquipment and all the tech you need for comfortable, productive workSpecial gifts for weddings, childbirth, and other personal milestonesInterview StagesRecruitment InterviewTech interviewHM InterviewWe 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.#J-*****-Ljbffr ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - 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