Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this AI Engineer role.
Rezi rewrites your resume against JeffreyM Consulting's job description. Free.
Tailor your resume to this AI Engineer role.
Rezi rewrites your resume against JeffreyM Consulting's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Engineer posting at JeffreyM Consulting — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the AI Engineer posting at JeffreyM Consulting — free, in seconds.
About the Role
We are seeking a hands-on AI Engineer / Member of Technical Staff to build and own production AI systems in the healthcare sector. This role involves working across AI engineering, software development, infrastructure, and customer implementation, taking ambiguous problems from initial requirements through deployment and ongoing improvement. It is ideal for individuals who enjoy building production systems, interacting directly with customers, and solving complex problems in a fast-paced environment.
Responsibilities
- 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.
Requirements
- 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.
Skills
- Python
- LLMs
- RAG
- Agentic workflows
- Infrastructure-as-Code
- Terraform
- Git
- GitHub
Location
- San Francisco
Work Type
- Full-time
- Onsite
Experience Level
- Member of Technical Staff
Salary/Compensations
- $120K–$190K
Benefits
- Equity
- H-1B Visa Sponsorship
- O-1 Visa Sponsorship
- OPT Visa Sponsorship
About the Company
- 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.