About nuAura

nuAura is building a modern health companion that helps people better understand their

body through biomarker data, doctor expertise, and personalised daily guidance. Our

product brings together advanced health testing, medical interpretation, and practical

recommendations across longevity, nutrition, movement, recovery, and mental

performance.

Location: Portugal-based, Lisbon preferred

Working model: Remote or hybrid

Employment type: Full-time

Contract type: Permanent or contractor, depending on candidate location and setup

Language: English required; Portuguese is a plus

Salary: Competitive, depending on experience

Start date: As soon as possible

About the Role

We are looking for an AI Engineer to help build, improve, measure, and evaluate the agentic intelligence behind the nuAura product.

This is a hands-on engineering role focused on LLM agents, health-focused conversational experiences, tool use, memory, evaluation, safety, data quality, and production reliability. You will work closely with backend, product, and clinical stakeholders to make the agent more useful, grounded, trustworthy, measurable, and maintainable.

You should be comfortable working with ambiguous product problems, designing robust AI system behaviour, using data to understand quality and failure modes, and turning experimentation into production-quality software.

What You Will Do

• Build and improve LLM-powered agent workflows for health guidance and personalised user support.
• Design agent behaviour around planning, tool use, memory, retrieval, follow-up handling, and response generation.
• Improve grounding, reliability, safety, and escalation behaviour in health-sensitive conversations.
• Develop evaluation workflows to measure quality, regressions, routing, safety, and multi-turn conversation behaviour.
• Build observability into agent workflows so the team can inspect decisions, tool calls, guardrail outcomes, latency, cost, and failure modes.
• Work with structured user data, product signals, and knowledge sources in a responsible way.
• Collaborate with backend engineers to integrate agent capabilities into production systems.