Senior Software Engineer - Generative AI & Agent Systems (Remote)
Join Invox Medical, a pioneering health tech company, as a Senior Software Engineer specializing in Generative AI and Agent Systems.
This fully remote position offers a unique opportunity to design and build robust AI agents for clinical workflows, focusing on production-ready systems rather than mere prototypes.
You will leverage your expertise in Python and TypeScript to develop stateful, memory-managed agents capable of complex task execution and error handling, contributing to the advancement of healthcare technology.
Explore these Software Engineer jobs Canarias with competitive benefits.
This role demands a deep understanding of agent runtime architecture, including state management, tool utilization, and continuous evaluation.
You will work with cutting-edge technologies like LangGraph and AWS Bedrock, ensuring the reliability, security, and traceability of AI-driven solutions in the sensitive healthcare sector.
If you are passionate about applying rigorous software engineering principles to non-deterministic AI systems and driving innovation in medical AI, this is your chance to make a significant impact.
| 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: | Canarias |
| Country of Appointment: | USA |
| Work Hours: | Full-time |
Further Details
Invox Medical is seeking a skilled Senior Software Engineer with a focus on Generative AI and Agent Systems for a 100% remote role. The position involves designing and implementing production-grade AI agents for clinical applications, emphasizing reliability, security, and traceability. You will be instrumental in developing the complete agent runtime, from architecture to deployment, utilizing Python and TypeScript. Key responsibilities include building complex agent graphs with LangGraph, managing state and memory, ensuring secure tool usage, and implementing advanced RAG strategies. The ideal candidate possesses strong production engineering experience, proficiency in LLM evaluation and observability, and a commitment to rigorous software development practices within the healthcare domain. This is an exceptional opportunity for an experienced engineer to shape the future of AI in healthcare. This position represents excellent best career opportunities in the region.
Senior Software Engineer - Generative AI & Agent Systems (Remote)
Invox Medical is at the forefront of revolutionizing the healthcare sector with advanced voice and AI products. We are seeking a highly skilled Senior Software Engineer specializing in Generative AI and Agent Systems to join our dynamic, fully remote team. This is an exceptional career opportunity for professionals passionate about building reliable, secure, and traceable AI agents that directly enhance patient care by freeing up valuable time for healthcare providers.
In this pivotal role, you will be responsible for the end-to-end design and development of AI agents capable of understanding context, utilizing tools, and executing complex clinical workflows. You will apply rigorous software engineering principles to non-deterministic AI systems, ensuring production readiness and maintainability. If you thrive on tackling challenging problems in AI development and are committed to making a tangible difference in healthcare, we encourage you to apply.
- Job Title: Senior Software Engineer - Generative AI & Agent Systems
- Location: Remote (Canarias, Spain)
- Company: Invox Medical
- Key Skills: Generative AI, Agent Systems, Python, TypeScript, LangGraph, AWS, LLM Evaluation, RAG
- Focus: Production-grade AI agents for clinical workflows
- Experience: Proven experience building and deploying AI agents
- Sector: Health Technology
Skills
- Experience building production agents with cycles, routing, tool use, and failure handling
- Proficiency in LangGraph for agent architecture design
- Strong asynchronous Python skills with typing and testing
- Practical TypeScript for integrations and APIs
- Production engineering experience (APIs, queues, concurrency, CI/CD, Docker, AWS)
- Experience with LLM/agent observability and evaluation tools (e.g., OpenTelemetry, Arize Phoenix, Langfuse)
- Expertise in tool calling and structured outputs
- Applied RAG knowledge including chunking, embeddings, and hybrid search
- Understanding of healthcare sector requirements (traceability, privacy, security)
- Experience with long-term memory and human-in-the-loop systems for agents
Duties and Responsibilities:
- Design and build agent runtimes using LangGraph for clinical workflows
- Model typed state, session memory, and long-term memory with checkpointers
- Develop secure tool usage contracts, structured outputs, and tool calling mechanisms
- Implement retrieval-augmented generation (RAG) strategies for medical knowledge
- Select and combine AI models based on quality, latency, cost, and privacy
- Instrument executions for observability of decisions, tools, tokens, cost, and errors
- Create datasets and regression evaluations for medical fidelity, groundedness, and safety
- Implement the core agent logic in Python and platform integrations in TypeScript
- Deploy robust services on AWS, potentially in containerized or on-premise environments
- Ensure traceability, privacy, reproducibility, and security of AI-assisted decisions
How to apply
- Prepare Your Application: Ensure your CV and any relevant supporting documents are up-to-date and highlight your experience in Generative AI, Agent Systems, Python, TypeScript, and production engineering.
- Visit the Application Portal: Navigate to the official application link provided for this vacancy.
- Submit Your Application: Complete the online application form accurately and submit it before the closing date.
- Application Deadline: Ensure your application is submitted by 18 December, 2026.
- Confirmation: Look for a confirmation email upon successful submission of your application.
- Contact Information: For any queries regarding the application process, please refer to the contact details provided on the Eurojobs platform.
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