Senior Applied AI Engineer
Job Description
Ledgent Technology is hiring a Senior Applied AI Engineer in the La Jolla/Torrey Pines area for a hybrid role. This position focuses on building RAG (Retrieval-Augmented Generation) pipelines and integrating AI capabilities with internal systems and data sources, with frequent communication that supports executive decision-making.
The role reports into the Director of Data Science and sits within a data science team of approximately 6 to 7 people. The schedule is hybrid with T/W/TH in and M/F out, and there is no relocation assistance available.
What you’ll do
- Build and maintain RAG pipelines for retrieval and generation workflows
- Integrate AI solutions with internal systems and data sources
- Present ideas clearly through strong communication and presentation skills
- Explain to executives why a solution should be built
- Communicate business value and impact in executive-facing discussions
- Work independently as a self-starter with loosely defined requirements
- Operate effectively in a fluid, fast-changing environment
What you’ll bring
- Experience building RAG (Retrieval-Augmented Generation) pipelines
- Ability to connect AI solutions to internal systems and data sources
- Strong communication and presentation skills
- Comfort speaking with executives, including explaining why to build a solution
- Comfort presenting business value and impact
- Ability to work independently with loosely defined requirements
- Comfort working in a fluid, fast-changing environment
- Degree is a plus (not required)
Tools and technologies
- OpenAI, Claude, Gemini
- Microsoft Copilot Studio
- LangChain
- Snowflake
- Python
Compensation and interview approach
- Salary: USD 140,000 - 180,000 per year
- Bonus: 10%
The interview process includes a virtual HR screen, a virtual interview with the hiring manager, a take-home skills assessment, and a final interview with the Chief Medical Officer.
- Take-home assessment is a practical AI exercise
- Candidates choose from 3 project options
- Estimated completion time: up to 3 hours
- One week is provided to complete the assessment
Client note: no C2C and no 3rd-party candidates. The client cannot sponsor now or in the future.