Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Our client, an AI-driven healthcare company focused on personalizing patient care, is hiring a Member of Technical Staff to join their team remotely. The successful candidate will help build and scale the AI and data systems powering next-generation primary care solutions, working closely with the core platform from day one while helping shape both the technical architecture and overall product direction.

Responsibilities

Build and optimize AI agent workflows capable of complex reasoning, tool use and decision-making.

Design guardrails, fallback mechanisms and escalation pathways to ensure safe patient-facing AI experiences.

Develop and launch AI-powered product features from concept through to production.

Improve retrieval systems to deliver accurate, traceable and explainable medical information.

Enhance search quality, citation accuracy and data lineage across clinical knowledge systems.

Rebuild and streamline data pipelines to improve reliability, integrity and freshness of healthcare data.

Develop low-latency voice AI systems for clinical intake, triage and patient follow-up interactions.

Build monitoring, analytics and observability systems to track AI performance, reliability and production health.

Fine-tune foundation and multimodal models using clinical datasets to improve safety, accuracy and user experience.

Create robust evaluation and training frameworks, including automated testing and human-in-the-loop feedback systems.

Skillset

Strong software engineering skills with a focus on Python development.

Proven experience designing and deploying production-grade AI/ML systems.

Solid understanding of PostgreSQL, including JSONB structures and vector-based search capabilities.

Experience working with AWS and distributed cloud architecture.

Practical experience integrating LLM APIs and delivering AI-driven product features.

Familiarity with frameworks and tooling such as PyTorch, Hugging Face, vLLM, Axolotl or similar technologies.

Experience developing AI agents, autonomous workflows or RAG-based systems.

Exposure to voice AI, multimodal applications or medical imaging technologies is a plus.

Comfortable operating across infrastructure, backend engineering and product-focused workflows.

Strong analytical, troubleshooting and systems-thinking skills.

Benefits

Salary: $220k - $250k.

Equity.