Staff AIML Software Engineer
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Staff AI/ML Software Engineer (GenAI / LLM Products)
Were represeniting our prestigious clinet who is building a next-generation AI-native platform transforming how people access and experience healthcare. This is an opportunity to join a foundational team shaping intelligent systems that directly impact real users at scale.
Were looking for a product-minded AI/ML engineer who thrives in ambiguity ships fast and builds systems that matter.
What Youll Do
- Design build and deploy end-to-end AI-powered products using modern LLMs and orchestration frameworks
- Own and ship 01 features such as:
- Conversational AI assistants
- Intelligent search and retrieval systems
- Personalized recommendations
- Develop production-grade RAG pipelines agent-based workflows and evaluation systems
- Build scalable backend systems and APIs powering AI-driven user experiences
- Work across the stack from data ingestion and modeling to real-time inference and product integration
- Partner closely with product design and clinical stakeholders to translate complex data into intuitive high-impact tools
- Drive technical direction and architecture decisions across AI systems
What Were Looking For
Core Requirements
- 8 years of professional experience in software engineering or ML engineering
- 5 years building ML systems in production environments
- Proven experience building and shipping LLM or RAG-based systems in production
- Strong proficiency in Python and backend development
- Experience designing and deploying end-to-end ML systems not just modeling
AI / ML Expertise
- Hands-on experience with:
- LLMs (OpenAI open-source models etc.)
- Retrieval-Augmented Generation (RAG)
- Agent frameworks and orchestration tools
- Background in:
- NLP / information retrieval / semantic search
- Document processing summarization or knowledge systems
- Experience improving system performance through:
- evaluation frameworks
- prompt iteration
- retrieval optimization
Engineering Strength
- Strong software engineering fundamentals:
- APIs distributed systems and backend architecture
- Experience building user-facing AI products not just pipelines
- Comfortable owning systems end-to-end in production
What Makes You Stand Out
- Youve built AI products used by real users not just internal tools
- Youve taken systems from idea production iteration
- You think in terms of user impact not just model performance
- Youre excited by fast-moving ambiguous environments and take ownership without waiting for direction
- Experience in healthcare or regulated environments is a plus but not required
Not a Fit If
- Your experience is primarily in:
- ML infrastructure / platform engineering
- pure data science or analytics roles
- research without production deployment
- You havent worked with modern LLM-based systems in production
Why This Role
- Build AI-first products from the ground up not incremental features
- Work on problems with real human impact
- Join a small high-caliber team where your work directly shapes the product and company trajectory
- Operate at the intersection of AI innovation and real-world application
Apply now!
