Remote Generative AI & Agent Systems Software Engineer - Andalucía, Spain

Further Details

Invox Medical is actively recruiting a remote Software Engineer with expertise in Generative AI and Agent Systems, based in Andalucía, Spain. Explore these Latest Invox Medical careers with competitive benefits. The core responsibility involves designing and constructing production-grade agents that can comprehend context, leverage tools, and execute comprehensive clinical workflows. Additionally, private sector careers are available for qualified candidates. This role demands the application of stringent software engineering practices to complex, non-deterministic systems, ensuring high levels of reliability, measurability, and ease of maintenance. This position offers a unique chance to innovate within the healthcare technology space, developing voice and AI solutions that empower medical professionals. The engineer will be instrumental in architecting the complete agent runtime, including state management, secure tool integration, and advanced Retrieval-Augmented Generation (RAG) techniques for medical knowledge. Successful applicants will demonstrate proven experience in developing agents with multi-step processes, robust failure management, and proficiency in asynchronous Python and practical TypeScript. Experience with production engineering on AWS, including CI/CD and deployment, is essential. A strong emphasis on ethical AI practices, including traceability, privacy, reproducibility, and safety, is critical for this healthcare-focused role.

Remote Generative AI & Agent Systems Software Engineer - Andalucía, Spain

Invox Medical is seeking a talented Software Engineer specializing in Generative AI and Agent Systems for a fully remote position based in Andalucía, Spain. This role is crucial for developing advanced voice and AI products within the healthcare sector, aiming to enhance patient care by optimizing healthcare professionals' time. The engineer will be responsible for designing and building production-ready agents that can understand context, utilize tools, and execute clinical workflows end-to-end, applying rigorous software engineering principles to complex, non-deterministic systems.

The position requires a deep understanding of agent runtime architecture, including state management, secure tool integration, and advanced Retrieval-Augmented Generation (RAG) techniques for medical knowledge. Candidates should possess a strong background in building multi-step agents with explicit failure handling, proficiency in Python and TypeScript, and experience with production engineering practices on AWS. A commitment to ethical AI practices, including traceability, privacy, reproducibility, and safety, is paramount for this healthcare-focused role.

• Job Title: Software Engineer - Generative AI & Agent Systems
• Location: Remote (Andalucía, Spain)
• Company: Invox Medical
• Key Responsibilities: Design and build production agents, manage state and memory, implement secure tool use, develop RAG strategies, ensure observability and evaluation, deploy robust services.
• Required Skills: LangGraph, Python, TypeScript, AWS, LLM evaluation, RAG, tool calling.
• Qualifications: BE, BS, Master, MBA
• Experience: Proven experience building production agents and workflows.

Skills

• Experience building production-ready agents with cycles, routing, tool use, and persistent state management
• Proficiency in designing and building agent runtimes using LangGraph (state graphs, nodes, edges, subgraphs, checkpoints, interrupts, resumption)
• Strong asynchronous Python skills, including typing, testing, and service design
• Practical TypeScript skills for developing integrations and maintainable APIs
• Experience with production engineering: APIs, queues, events, concurrency, idempotency, security, CI/CD, Docker, and AWS deployments
• Experience with LLM/agent observability and evaluation tools (e.g., OpenTelemetry, Arize Phoenix, Langfuse, LangSmith, Datadog, Ragas, DeepEval)
• Expertise in tool calling and structured outputs, including schema design, response validation, and error handling
• Applied RAG knowledge: chunking, embeddings, hybrid search, reranking, security filters, and retrieval evaluation
• Understanding of vector databases and structured knowledge representation
• Commitment to traceability, privacy, reproducibility, and safety in AI-assisted decisions
• Experience with long-term memory, checkpoints, and human-in-the-loop systems for agents

Duties and Responsibilities:

• Design and build agent runtimes using LangGraph, including nodes, routing, loops, parallelism, streaming, interrupts, and subgraphs
• Model typed and persistent state, session memory, long-term memory, checkpoints, execution resumption, idempotency, timeouts, and retries
• Design tool contracts, structured outputs, and tool calling mechanisms; integrate APIs and clinical sources with permissions, validation, sandboxing, and human-in-the-loop intervention
• Construct hybrid retrieval, reranking, tenant filters, Graph-RAG, and grounding strategies over medical knowledge
• Select and combine models based on quality, latency, cost, privacy, and availability, working with providers like AWS Bedrock and other model APIs
• Instrument every execution for insights into decisions, tools, tokens, cost, latency, and errors; create datasets and regression evaluations for medical fidelity, groundedness, safety, and tool use quality
• Implement the core logic in Python and platform integrations in TypeScript, deploying robust services on AWS and potentially containerized or on-premise environments
• Operate systems with latency and availability requirements

How to apply

Interested candidates are invited to submit their applications through the official Eurojobs portal. Please ensure all required information is accurately provided to be considered for this exciting remote opportunity.

• 💼 Prepare your CV: Ensure your resume highlights your experience in building production agents, your proficiency in Python and TypeScript, and your familiarity with generative AI concepts and tools.
• 🔎 Review Requirements: Carefully read through the job description and ensure you meet the essential qualifications and skills, particularly regarding LangGraph, AWS deployment, and LLM evaluation.
• 🎯 Access Application Link: Click on the provided 'Apply Now' link to be directed to the application page.
• 📝 Complete Application Form: Fill out the online application form with your personal details, professional experience, and educational background.
• ⏳ Submit Application: Submit your application before the closing date of December 18, 2026.
• 👉 Application Link:https://eurojobs.com/jobs/36952142/apply