Backend Engineer – Python, Generative AI

INNOCV Solutions

. Design, develop and maintain backend services powered by Large Language Models (LLMs), agentic workflows and Retrieval-Augmented Generation (RAG) architectures.

Posted 11/7/2026full-timeMadrid • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend development with a focus on Large Language Models and Generative AI systems, utilizing Python or Java. Proficient in building production-ready solutions with strong knowledge of AI evaluation and observability practices.

Highest-signal resume keywords

Backend Development ExperienceLarge Language Model SolutionsAzure OpenAI APIFastAPIRAG Systems

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Hard Skills

PythonJavaLLM EvaluationAsynchronous ProgrammingStreamingLangChainLangGraphAzure AI SearchAI Coding ToolsSpec-Driven Development

Soft Skills

Team CollaborationInnovation

Tools & Technologies

Azure AI FoundryAzure AI Document IntelligenceClaude CodeCodexMLflowDatabricks

Industry Keywords

Generative AIAI Engineering PracticesProduction SystemsEnterprise Cloud Environments

Tech Stack

Tools & technologies

AzureCloudJavaPython

About the role

Key responsibilities & impact

Design, develop and maintain backend services powered by Large Language Models (LLMs), agentic workflows and Retrieval-Augmented Generation (RAG) architectures.
Build reliable, scalable, production-ready Generative AI systems.
Apply software engineering practices focused on reliability, evaluation and observability.
Turn AI prototypes into robust production-ready systems.
Contribute to the evolution of AI engineering practices.
Work with a supportive team focused on technology and innovation.

Requirements

What you’ll need

5+ years of professional backend development experience with Python or Java.
2+ years of hands-on experience delivering LLM-based solutions in production.
Experience with Azure OpenAI and/or the OpenAI API.
Practical experience with LangChain and LangGraph.
Experience building production RAG systems using Azure AI Search or similar technologies.
Strong knowledge of FastAPI, asynchronous programming and streaming.
Experience with LLM evaluation and observability.
Experience using AI coding tools such as Claude Code or Codex, and working with skills and MCP servers.
Professional working proficiency in English.
Nice to have: Experience with Azure AI Foundry or Azure AI Document Intelligence.
Nice to have: Familiarity with Langfuse, MLflow or Databricks.
Nice to have: Knowledge of spec-driven development (SDD).
Nice to have: Experience deploying and monitoring AI applications in enterprise cloud environments.

Benefits

Comp & perks

Professional Training & Certifications
Flexible hours
Special timetable: Fridays and summer 7h.
Every three years, 6 extra days off.
Day off on your birthday
Bring a friend and benefit from it
Flexible compensation
Wellness - Gympass
Volunteering opportunities
Company events and team buildings
Personal budget for staying up to date with market trends
Training, tech breakfasts, and attendance at forums