Senior Software Engineer - Generative AI & Agent Systems (Remote)

Further Details

Invox Medical is actively recruiting for a Software Engineer with a focus on Generative AI and Agent Systems, offering a 100% remote work arrangement. This position represents excellent Software Engineer jobs Catalunya in the region. The primary objective is to design and construct production-ready agents capable of understanding context, utilizing tools, and executing clinical workflows end-to-end. This role emphasizes rigorous software engineering for non-deterministic systems, ensuring agents are reliable, measurable, and maintainable. Key responsibilities include architecting agent runtimes, managing state and memory, implementing secure tool usage, and developing advanced RAG strategies for medical knowledge. The ideal candidate will possess proven experience in building multi-step agents, proficiency in Python and TypeScript, and a solid understanding of LLM evaluation and observability. A strong commitment to healthcare sector requirements such as traceability, privacy, and safety is essential. This position is an excellent opportunity for engineers seeking to make a significant impact in the health tech industry. You will work with a dedicated team to enhance their AI platform, contributing to products that directly benefit healthcare professionals and patient care. The role requires a proactive approach to problem-solving and a deep understanding of production engineering principles within an AWS environment.

Senior Software Engineer - Generative AI & Agent Systems (Remote)

Invox Medical is seeking a highly skilled Software Engineer specializing in Generative AI and Agent Systems to design and build reliable, measurable, and maintainable agents for the healthcare sector. This fully remote position focuses on developing robust agent runtimes, from architecture to production deployment, applying rigorous software engineering principles to non-deterministic systems. You will play a key role in transforming clinical use cases into functional AI agents.

This opportunity is ideal for experienced engineers who have successfully deployed multi-step agents with cycles, routing, tool usage, and explicit failure handling. You will leverage your expertise in Python and TypeScript to create sophisticated agent architectures, manage state, memory, and control mechanisms, and ensure secure tool utilization and effective RAG strategies for clinical knowledge integration. The role demands a strong understanding of LLM evaluation and observability, with a commitment to the traceability, privacy, and safety required in healthcare.

• Job Title: Senior Software Engineer - Generative AI & Agent Systems
• Location: Remote (Catalunya, Spain)
• Company: Invox Medical
• Key Skills: Generative AI, Agent Systems, Python, TypeScript, LangGraph, LLM Evaluation, RAG
• Experience: Proven experience building production agents and production engineering
• Industry Focus: Health Technology

Skills

• Experience building production agents with cycles, routing, tool usage, and failure handling
• Proficiency in LangGraph for agent architecture design
• Solid asynchronous Python, typing, testing, and service design skills
• Practical TypeScript for integrations and APIs
• Experience with production engineering: APIs, queues, concurrency, idempotency, security, CI/CD, Docker, AWS deployments
• Experience with LLM/agent observability and evaluation tools (e.g., OpenTelemetry, Arize Phoenix, Langfuse, LangSmith, Datadog)
• Experience with dataset-based evaluations (e.g., Ragas, DeepEval)
• Designing schemas, validating model responses, and controlling tool usage permissions, errors, retries, and side effects
• Understanding of chunking, embeddings, hybrid search, reranking, security filters, and retrieval evaluation
• Familiarity with vector databases and structured knowledge
• 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, retries, and cost limits
• Design tool contracts, structured outputs, and tool calling; integrate APIs and clinical 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 models based on quality, latency, cost, privacy, and availability
• Instrument each execution for decision tracking, tool usage, token count, cost, latency, and errors
• Create datasets and regression evaluations to measure medical fidelity, groundedness, safety, and tool use quality
• Implement the core in Python and platform integrations in TypeScript
• Deploy robust services in AWS, and potentially in containerized or on-premise environments
• Operate systems with latency and availability requirements

How to apply

• Prepare Your Application: Ensure your CV and any supporting documents are up-to-date and highlight your experience in Generative AI, Agent Systems, Python, TypeScript, and production engineering.
• Review Requirements: Carefully check that you meet all the specified qualifications and experience criteria for this role.
• Visit the Application Portal: Navigate to the official application link provided for this vacancy.
• Submit Your Application: Complete the online application form accurately and upload all required documents.
• Application Deadline: Please ensure your application is submitted before the closing date of 18 December 2026.
• Confirmation: Look for a confirmation message or email after submitting your application.