Remote AI Generative Software Engineer - Andalucia, Spain

Further Details

Invox Medical is actively recruiting for a Software Engineer with a focus on Generative AI and Agent Systems, offering a fully remote work arrangement within Andalucia, Spain. The core of this role involves designing and implementing the complete runtime for AI agents, ensuring they are reliable, measurable, and maintainable for clinical applications. This position requires a strong foundation in software engineering principles applied to complex AI systems, including state management, memory handling, and secure tool integration. Key responsibilities include developing agent architectures with LangGraph, managing persistent memory, and implementing retrieval-augmented generation (RAG) for medical knowledge. The engineer will also be responsible for selecting appropriate AI models, ensuring robust observability and evaluation of agent performance, and deploying services on AWS. A deep understanding of Python and TypeScript is essential for this role, alongside a commitment to the high standards of quality, security, and traceability demanded by the healthcare industry. This is a unique opportunity to shape the future of AI in healthcare, contributing to products that enhance the efficiency of medical professionals. The ideal candidate will have proven experience in building multi-step agents, a solid grasp of production engineering practices, and a passion for applying AI to solve real-world clinical challenges. Join Invox Medical and make a significant impact on healthcare delivery through advanced AI solutions.

Remote Software Engineer - Generative AI & Agent Systems

Invox Medical is seeking a talented Software Engineer to join their team remotely in Andalucia, Spain. This role focuses on designing and building advanced Generative AI agents for the healthcare industry. The position requires a deep understanding of agent runtime design, including state management, memory, tool utilization, and error recovery, applying rigorous software engineering principles to complex AI systems.

Key responsibilities include developing agent architectures with LangGraph, implementing retrieval-augmented generation (RAG) for medical knowledge, and ensuring robust observability and evaluation of AI performance. The ideal candidate will possess strong Python and TypeScript skills for production deployment on AWS, with a commitment to quality, security, and traceability in a healthcare context. Additionally, Invox Medical jobs Andalucia are available for qualified candidates. This is a fantastic opportunity for a Software Engineer to contribute to cutting-edge AI solutions.

• Job Title: Software Engineer - Generative AI & Agent Systems
• Location: Remote (Andalucia, Spain)
• Company: Invox Medical
• Key Skills: Generative AI, LangGraph, Python, TypeScript, AWS, RAG, Agent Systems
• Experience: Proven experience building production-ready agents
• Qualifications: BE, BS, Master degree
• Closing Date: 18 December 2026

Additionally, Healthcare Technology jobs in Andalucia are available for qualified candidates.

Skills

• Experience building production-ready agents with multi-step workflows
• Proficiency in LangGraph for agent architecture design
• Strong asynchronous Python programming skills
• Practical TypeScript development experience
• Experience with production engineering (APIs, event queues, concurrency, idempotency, CI/CD, Docker, AWS deployments)
• Experience with LLM observability and evaluation tools (e.g., OpenTelemetry, Arize Phoenix, Langfuse, LangSmith, Datadog, Ragas, DeepEval)
• Expertise in tool calling and structured outputs
• Understanding of RAG principles (chunking, embeddings, hybrid search, reranking, security filters)
• Commitment to traceability, privacy, reproducibility, and AI-assisted decision safety in healthcare
• Experience with long-term memory, checkpointers, 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 state, persistent session memory, and long-term memory, including checkpointers and execution resumption
• Design and implement secure tool usage contracts, structured outputs, and tool calling, integrating APIs and clinical sources with validation and sandboxing
• Develop retrieval-augmented generation (RAG) strategies for medical knowledge, including hybrid retrieval, reranking, and grounding techniques
• Select and combine AI models based on quality, latency, cost, privacy, and availability, working with various model APIs without architectural coupling
• Instrument every execution for observability of decisions, tools, tokens, cost, latency, and errors
• Create datasets and regression evaluations to measure medical fidelity, groundedness, safety, and tool use quality
• Implement the core agent logic in Python and platform integrations in TypeScript
• Deploy robust services on AWS, and potentially in containerized or on-premise environments as required
• Operate systems with specific latency and availability requirements

How to apply

• 💼 Prepare Your Application: Compile your most up-to-date Curriculum Vitae (CV) and any supporting documents that highlight your experience in Generative AI, agent systems, and software engineering.
• 🔎 Review Requirements: Ensure you meet all the specified qualifications and possess the required skills, particularly in Python, TypeScript, LangGraph, and production deployment on AWS.
• 🎯 Visit the Application Portal: Navigate to the official application link provided for this vacancy.
• 👉 Submit Your Application: Click on the 'Apply' button and follow the on-screen instructions to complete and submit your application form.
• 📅 Application Deadline: Please ensure your application is submitted no later than 18 December 2026. Late submissions may not be considered.
• 🌐 Learn More: For additional details about the role and Invox Medical, you can visit the job listing page.