Senior Applied AI Engineer
Job Description
Senior Applied AI Engineer role focused on building RAG pipelines and integrating AI solutions with internal systems and data sources.
Responsibilities
- Build and maintain RAG (Retrieval-Augmented Generation) pipelines
- Connect AI solutions to internal systems and data sources
- Communicate and present technical work clearly
- Explain to executives why a solution should be built
- Communicate executive-ready business value and impact
- Operate as a self-starter in environments with loosely defined requirements
- Work effectively in a fluid, fast-changing environment
Requirements
- Experience building RAG (Retrieval-Augmented Generation) pipelines
- Ability to connect AI solutions to internal systems and data sources
- Strong communication and presentation skills
- Comfortable presenting to executives, including:
- Why a solution should be built
- Business value and impact
- Self-starter who can work independently with loosely defined requirements
- Comfortable operating in a fluid, fast-changing environment
- Degree is a plus, not a requirement
Technologies
- OpenAI
- Claude
- Gemini
- Microsoft Copilot Studio
- LangChain
- Snowflake
- Python
Compensation
- USD 140,000 - 180,000 per year
- 10% bonus
Schedule and Location
- Hybrid schedule: In T/W/TH, Out M/F
- Location: La Jolla / Torrey Pines Area
- Relocation: open to candidates willing to relocate; no relocation assistance available
Team and Reporting
- Reports into the Director of Data Science (Hiring Manager)
- Data Science team size: approximately 6-7 people
Interview Process
- Virtual HR screen
- Virtual interview with Hiring Manager
- Take-home skills assessment (practical AI exercise)
- Candidate chooses from 3 project options
- Build an AI tool/solution
- Estimated completion time: max 3 hours
- One week provided to complete
- Interview with Chief Medical Officer
Restrictions
- No C2C or 3rd-party candidates
- Client cannot sponsor now or in the future