Job Title: AI Engineer, Voice & Generative AI Systems

Location: Palo Alto, CA (Onsite, 5 days a week)

Team: Engineering

Partner: A mission-driven company building the first safety-focused Large Language Model designed specifically for healthcare.

About Our Hiring Partner

Our hiring partner is tackling one of the most ambitious and meaningful challenges of our time: building a safety-first Large Language Model to revolutionize global healthcare. Their mission is to dramatically improve health accessibility and outcomes by making deep medical expertise available to everyone through AI. This isn't just another AI application; it's a foundational technology with the potential for unprecedented global impact.

The company was co-founded by a visionary coalition, including CEO Munjal Shah, alongside leading physicians, hospital administrators, and AI researchers from world-class institutions like Stanford, Johns Hopkins, and technology leaders like Google and NVIDIA. With a formidable $278 million in funding from elite investors such as Andreessen Horowitz and General Catalyst, they possess the strategic backing, expertise, and resources to execute their long-term vision. For engineers seeking purpose-driven startup jobs in SFC, this represents a pinnacle opportunity to build a legacy.

Why This is a Compelling Opportunity

1. Massive Mission, Tangible Impact: Your work will directly contribute to AI systems that improve patient care and health outcomes, making a real difference in people's lives.
2. Work at the Frontier: Build and scale zero-to-one products using state-of-the-art generative AI, voice technologies, and agentic systems.
3. Learn from the Best: Collaborate daily with a world-class, cross-functional team of AI researchers, engineers, and healthcare professionals.
4. Build with Substance: Join a well-capitalized, high-growth environment where you can focus on innovation—a key differentiator for top-tier startup jobs in SFC.

About the Role

As an AI Engineer, you will play a pivotal role in shaping the future of voice-based generative AI in healthcare. You will be responsible for designing and building the intelligent systems that power our clinically safe healthcare agents, operating at the intersection of large language models, real-time voice, and human-centered product design.

This is a deeply hands-on and cross-functional role. You will partner closely with AI researchers, product managers, and clinical experts to translate advanced research into robust, production-grade AI products. From building scalable RAG pipelines to enabling sophisticated multi-agent conversations, your work will directly define how patients and providers safely interact with generative AI at scale.

What You'll Do

1. Design, build, and optimize production-grade AI pipelines that power our voice-based generative healthcare agents—spanning retrieval-augmented generation (RAG) to multi-step reasoning systems.
2. Collaborate cross-functionally with product, clinical, and engineering teams to translate complex healthcare workflows into safe, scalable, and intuitive AI experiences.
3. Prototype and deploy zero-to-one features using state-of-the-art LLMs, retrieval systems, and streaming voice architectures, balancing innovation with production reliability.
4. Develop and refine AI-native workflows that support real-time, conversational, and long-running interactions across diverse healthcare contexts.
5. Drive continuous improvement in model evaluation, safety testing, and system observability, ensuring every agent interaction meets the highest clinical safety standards.

Qualifications (Must-Have)

1. 3+ years of professional experience in software, ML, or AI engineering.
2. A proven track record of building and shipping AI- or ML-powered products in live production environments.
3. Strong programming skills in Python, with experience in distributed systems, APIs, and data-intensive pipelines.
4. Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG); or a demonstrated ability to learn complex new domains rapidly.
5. Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (e.g., Terraform, CI/CD, monitoring).
6. Excellent communication skills, a collaborative spirit, and the ability to thrive in a fast-paced, high-impact domain.

Bonus Qualifications (Nice-to-Have)

1. Experience building or deploying LLM-based or multi-agent systems at scale.
2. Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.
3. Prior exposure to healthcare, safety-critical domains, or regulated product development.

This is a full-time, onsite role based in Palo Alto, CA. The company culture is built on the power of in-person collaboration to foster innovation and build a tightly-knit, high-performing team.

Apply Now

If you are an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we strongly encourage you to apply. This role stands out among startup jobs in SFC for its unique blend of technical depth, mission-driven work, and elite leadership.