Senior Applied AI Engineer

Job Description

No C2C or 3rd Party Candidates; client cannot sponsor now or in the future

Degree is a plus, not a requirement

Pay: $140k-180k - 10% Bonus

Schedule: Hybrid - In: T/W/TH Out: M/F

Location: La Jolla, Torrey Pines Area; open to candidates willing to relocate - but no relocation assistance available

**Must-Have Skills

• Experience building RAG (Retrieval-Augmented Generation) pipelines
• Ability to connect AI solutions to internal systems and data sources
• Strong communication and presentation skills
• Comfortable speaking with executives and explaining:
• 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

Current Technology

• LLMs: OpenAI, Claude, Gemini
• AI Orchestration: Microsoft Copilot Studio, LangChain
• Data Platforms: Snowflake, Python

Team Structure

• Reports into the Director of Data Science (Hiring Manager)
• Data Science Team of approximately 6-7 people

Interview Process

1. Virtual HR Screen
2. Virtual Interview with Hiring Manager
3. 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

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.


Job Reference: JN -102026-432985