Senior Generative AI & Agent Systems Software Engineer (Remote)

Further Details

Invox Medical is actively recruiting for a Software Engineer with expertise in Generative AI and Agent Systems to join their team remotely. The primary focus will be on developing sophisticated agents for clinical applications, ensuring they are reliable, measurable, and maintainable. This role demands a deep understanding of agent runtime design, including state management, memory, tool utilization, and robust error handling. Candidates will be responsible for architecting and implementing complex agent workflows using LangGraph, integrating various AI models, and ensuring seamless deployment on AWS. A strong emphasis is placed on observability, evaluation, and rigorous software engineering practices to guarantee the safety and effectiveness of AI-driven healthcare solutions. This position is ideal for experienced engineers who are passionate about leveraging AI to improve healthcare outcomes. The company values rigorous engineering, a commitment to quality, and the ability to work independently in a remote setting. Join a forward-thinking team dedicated to innovation in medical AI.

Senior Generative AI & Agent Systems Software Engineer (Remote)

Invox Medical is seeking a highly skilled Software Engineer specializing in Generative AI and Agent Systems for a fully remote position within the Valencian Community, Spain. This role focuses on designing and building robust, production-ready agents capable of understanding context, utilizing tools, and executing complex clinical workflows. You will apply rigorous software engineering principles to non-deterministic systems, ensuring quality, security, and traceability in healthcare AI products.

This is an exciting opportunity to contribute to the development of advanced AI solutions that aim to give healthcare professionals more time with their patients. Additionally, Healthcare Technology jobs in Valencian Community are available for qualified candidates. You will be instrumental in transforming clinical use cases into reliable, measurable, and maintainable agents, working from architecture design through to deployment and ongoing operation.

If you have a strong background in building production-level agents, experience with LangGraph, and a passion for applying AI to the healthcare sector, we encourage you to apply. This position offers a competitive salary and the chance to work on cutting-edge technology in a dynamic, remote environment.

• Key Responsibilities: Design agent runtimes, manage state and memory, implement secure tool use, and ensure robust RAG integration.
• Technical Skills: Proficiency in Python, TypeScript, LangGraph, AWS, and LLM evaluation tools.
• Industry Focus: Applying AI and agent systems to the healthcare sector with a strong emphasis on quality and safety.
• Work Environment: Fully remote position within the Valencian Community, Spain.

Explore these immediate vacancies with competitive benefits.

Skills

• Experience building production-level agents with cycles, routing, tool use, persistent state, and explicit failure handling
• Proficiency in LangGraph for modeling StateGraphs, nodes, edges, subgraphs, checkpointers, interrupts, and resumption
• Strong command of asynchronous Python, typing, testing, and service design
• Practical experience developing maintainable TypeScript integrations and APIs
• Experience with production engineering practices including APIs, queues, events, concurrency, idempotency, security, CI/CD, Docker, and AWS deployments
• Familiarity with LLM/agent observability and evaluation tools (e.g., OpenTelemetry, Arize Phoenix, Langfuse, LangSmith, Datadog)
• Experience with dataset-based evaluations (e.g., Ragas, DeepEval)
• Skill in designing tool calling schemas, validating model responses, and controlling permissions, errors, retries, and side effects
• Understanding of RAG principles including chunking, embeddings, hybrid search, reranking, security filters, and retrieval evaluation
• Commitment to traceability, privacy, reproducibility, and safety in AI-assisted decisions

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, checkpointers, execution resumption, idempotency, timeouts, and retries
• Design tool contracts, structured outputs, and tool calling; integrate clinical APIs and sources with permissions, validation, sandboxing, and human-in-the-loop mechanisms
• Construct hybrid retrieval, reranking, tenant filters, Graph-RAG, and grounding strategies over medical knowledge
• Select and combine AI 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 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 in containerized or on-premise environments as required

How to apply

• Prepare Your Application: Ensure your CV and any relevant supporting documents are up-to-date.
• Visit the Application Portal: Navigate to the official Eurojobs application link provided.
• Submit Your Application: Click on the 'Apply' button and follow the on-screen instructions to complete the application form.
• Provide Detailed Information: Fill in all required fields accurately, including your experience with Generative AI, Agent Systems, LangGraph, Python, TypeScript, and AWS.
• Highlight Relevant Experience: Emphasize your experience in building production-level agents, managing state and memory, implementing tool use, and your understanding of RAG and LLM evaluation.
• Confirm Submission: Double-check all entered information before submitting your application to ensure accuracy.
• Await Confirmation: You will typically receive a confirmation of your application submission.
• Stay Updated: Keep an eye on your email for any further communication from Invox Medical regarding the next steps in the hiring process.