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Remote AI Software Engineer - Generative AI & Agent Systems

Join Invox Medical, a pioneering health tech company, as a remote AI Software Engineer specializing in Generative AI and Agent Systems.

This role focuses on designing and building robust, production-ready agents capable of understanding context, utilizing tools, and executing complex clinical workflows.

You will leverage your expertise in Python and TypeScript to develop reliable, measurable, and maintainable AI solutions for the healthcare sector, ensuring high quality, security, and traceability.

This is a unique opportunity to contribute to a mission-driven organization that aims to give healthcare professionals more time with their patients.

Successful candidates will benefit from these Latest Invox Medical careers.

You will work on the entire agent runtime, from architecture to deployment, applying rigorous software engineering principles to non-deterministic systems.

If you are passionate about building cutting-edge AI and have a strong background in building multi-step agents, we encourage you to apply for this exciting remote position.

Overseas
Bachelor Degree
full-time
USA

Jobs Date Posted: 03 November, 2026
Jobs Last Date to Apply: 18 December, 2026
Industry: Health Technology
Jobs Industry Type: Overseas
Job Hiring Organization: Invox Medical
Occupational Category: Software Engineering
Education Requirements Bachelor Degree
Employment Type: full-time
Advertisement Source: Eurojobs
Job Location: Castilla
Country of Appointment: USA
Work Hours: Full-time
🎓 Qualifications Required
BE

Further Details

Invox Medical is seeking a skilled Software Engineer with a focus on Generative AI and Agent Systems for a fully remote position. The role involves designing and implementing production-grade agents that can handle clinical workflows, manage state and memory, and utilize tools securely. This is a private sector opportunity within the health technology industry, emphasizing rigorous software engineering for AI applications. Key responsibilities include developing agent runtimes using LangGraph, managing state and memory, implementing secure tool usage, and applying Retrieval Augmented Generation (RAG) techniques to clinical knowledge. The position requires strong Python and TypeScript skills, experience with production engineering on AWS, and a deep understanding of LLM evaluation and observability. This role is ideal for engineers passionate about AI's impact on healthcare and committed to building reliable, traceable systems. Explore these high salary jobs with competitive benefits.

Remote AI Software Engineer - Generative AI & Agent Systems

Invox Medical, a leader in health technology, is actively seeking a talented Software Engineer to join their team remotely. This role is focused on developing advanced AI agents for the healthcare sector, leveraging Generative AI and agent systems to streamline clinical workflows. The company is dedicated to improving patient care by giving healthcare professionals more time to focus on their patients.

This is a significant opportunity for engineers passionate about AI's practical applications in healthcare. You will be instrumental in designing and building production-grade agents that are reliable, measurable, and maintainable. The position requires a strong foundation in software engineering principles applied to complex AI systems, ensuring high standards of quality, security, and traceability.

  • Job Title: Software Engineer - Generative AI & Agent Systems
  • Location: Remote (Castilla y León, Spain)
  • Company: Invox Medical (Private Sector)
  • Key Technologies: Generative AI, Agent Systems, Python, TypeScript, LangGraph, AWS
  • Focus: Building production-ready AI agents for clinical workflows
  • Requirements: Proven experience in building multi-step agents, strong Python/TypeScript skills, production engineering experience

Skills

  • Experience building production-ready agents with multi-step workflows
  • Proficiency in LangGraph for agent architecture design
  • Strong asynchronous Python skills with typing and testing
  • Practical TypeScript for API and integration development
  • Experience with production engineering on AWS, CI/CD, Docker
  • Familiarity with LLM/agent evaluation tools (e.g., Ragas, DeepEval)
  • Expertise in tool calling and structured output design
  • Understanding of RAG techniques, embeddings, and vector databases
  • Commitment to traceability, privacy, and AI safety in healthcare
  • Experience with long-term memory and human-in-the-loop systems for agents

Duties and Responsibilities:

  • Design and build agent runtimes using LangGraph, including nodes, routing, loops, and subgraphs
  • Model typed and persistent state, session memory, and long-term memory with checkpointing and execution resumption
  • Develop secure tool usage mechanisms, including contract design, structured outputs, and API integrations
  • Implement hybrid retrieval, reranking, and grounding strategies on medical knowledge using vector databases and knowledge graphs
  • Select and combine AI models based on quality, latency, cost, and privacy requirements
  • Instrument every execution for observability of decisions, tools, tokens, cost, and errors
  • Create datasets and regression evaluations to measure medical fidelity, groundedness, and safety
  • 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
  • Ensure rigorous software engineering practices are applied to non-deterministic AI systems

How to apply

  • Prepare Your Application: Ensure your CV and any supporting documents are up-to-date and highlight your experience with AI agent development, Generative AI, Python, TypeScript, and production engineering.
  • Visit the Application Portal: Navigate to the Eurojobs platform to find the specific job listing.
  • Submit Your Application: Click on the 'Apply' button or link provided on the Eurojobs listing. You will likely be directed to a dedicated application form or portal.
  • Complete the Form: Fill out all required fields accurately, providing details about your qualifications, experience, and motivation for applying.
  • Upload Documents: Upload your CV and any other requested documents as per the instructions.
  • Review and Submit: Before final submission, carefully review all entered information for accuracy.
  • Confirmation: Look for a confirmation message or email indicating that your application has been successfully received.
  • Application Deadline: Ensure your application is submitted before the closing date of December 18, 2026.


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