AI Engineer

Location: San Francisco, California, United States

Department: Direct Placement/Contract to Hire

Workplace: on_site

Employment Type: full

Description

About the Role

We’re looking for a hands-on AI Engineer / Member of Technical Staff to build and own production AI systems in healthcare.

You’ll work across AI engineering, software development, infrastructure, and customer implementation, taking ambiguous problems from initial requirements through deployment and ongoing improvement.

This is a highly hands-on role for someone who enjoys building production systems, working directly with customers, and solving complex problems in a fast-moving environment.

What You’ll Do

• Build production AI applications using Python, LLMs, RAG, and agentic workflows
• Develop systems that process and extract insights from complex, unstructured data
• Design and manage production infrastructure using Terraform or comparable IaC
• Deploy, monitor, debug, and continuously improve AI systems
• Work directly with customers to understand workflows and translate problems into technical solutions
• Challenge assumptions and identify new opportunities where AI can improve customer workflows
• Collaborate across engineering, product, and customer-facing teams

What We’re Looking For

• Strong hands-on Python development experience
• Experience with Terraform or comparable Infrastructure-as-Code
• Experience building and deploying production software
• Practical experience with LLMs / generative AI
• Experience with RAG, agents, or other LLM application architectures
• Strong debugging and problem-solving skills
• Comfortable working directly with customers and navigating ambiguity
• Strong Git/GitHub experience and a track record of actively building
• Ability to work 5 days/week in San Francisco

Nice to Have

• Healthcare, EHR, FHIR, or HL7 experience
• Customer-facing engineering, FDE, or solutions engineering experience
• AI evaluation, monitoring, or observability experience
• Startup or founding-engineer experience
• Open-source contributions

Engineering Mindset

We believe production AI requires more than getting a demo to work. Engineers are expected to build, verify, monitor, investigate, fix, and improve systems based on real-world performance.

If you enjoy owning problems end-to-end and building AI systems that have real-world impact, we’d love to hear from you.

Benefits

Employment: Full-time
Compensation: $120K–$190K + equity
Visa Sponsorship: H-1B, O-1, OPT Available