Live opening · Posted 4 days ago

AI Engineer

JeffreyM Consulting · San Francisco, California, United States
Workable No
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At a glance

The key details from the original listing.

Posted 4 days ago
CompanyJeffreyM Consulting
LocationSan Francisco, California, United States
Work modeNo
SourceWorkable
Listed4 days ago

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About the role

Description supplied by the original job listing.

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

Work arrangement
No

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