Senior Python Back-End Engineer With Gen Ai Experience

Tipo De
Municipality of Madrid, Spain
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Intermediate

Job location

Municipality of Madrid, Spain

Tech stack

API
Artificial Intelligence
Databases
Continuous Integration
Python
Software Engineering
TypeScript
Data Logging
Large Language Models
Prompt Engineering
Backend
Microservices

Job description

We're looking for a backend-focused software engineer with a strong interest in applied AI. Your role is to build production-grade systems that harness existing AI models and frameworks, not to build models from scratch. You'll collaborate with product managers, LLM specialists and domain experts to design, build and scale intelligent features powered by modern AI technologies. Responsibilities Design and implement backend services that integrate LLM APIs (e.G. OpenAI, Claude) and retrieval-augmented generation (RAG) architectures. Build and maintain prompt orchestration logic, agent frameworks and tool integrations. Work with vector databases (e.G. Pinecone, Weaviate, pgvector) to enable semantic search and retrieval. Collaborate with product and validation teams to ensure outputs are reliable, safe and aligned with domain expectations. Implement monitoring, observability and fallbacks for AI-driven services in production. Contribute to internal SDKs, templates and documentation for

Requirements

reusability across product teams. Qualifications 3-5 years of experience as a backend or platform engineer. Strong skills in Python, TypeScript or a similar backend stack. Hands-on experience with AI/LLM APIs, RAG frameworks (LangChain, LlamaIndex) or vector stores. Understanding of prompt engineering, agent design or AI system patterns. Comfort working with non-deterministic systems and building safeguards around them. Strong software engineering fundamentals: clean architecture, testing, CI/CD, logging. Nice to Have Experience with agentic AI tools (LangGraph, CrewAI, etc.). Familiarity with LLM evaluation techniques or AI observability platforms. Exposure to regulated environments (clinical, financial, legal, tech). Benefits Flexible working format - remote, office-based or flexible. Competitive salary and good compensation package. Personalized career growth. Professional development tools (mentorship program, tech talks, training centers of excellence and more). Active tech

Benefits & conditions

communities with regular knowledge sharing. Education reimbursement. Memorable anniversary presents. Corporate events and team building. Other location-specific benefits. *not applicable for freelancers #J-18808-Ljbffr

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