Senior AI Engineer
Build full-stack AI systems including agentic workflows, RAG pipelines, and production infrastructure for mental healthcare applications. Requires 2+ years software engineering experience and 1+ year with LLMs or agentic AI.
Senior Data Science Engineer, AI
Senior Data Science Engineer focused on building scalable data pipelines and AI systems to unify healthcare datasets into analytics-ready models. Requires 4+ years experience with Python, SQL, and modern AI tooling including LLMs and vector databases.
170k – 185kSan Diego, CAML EngineeringRemote4+ YOE
About the role
Responsibilities
- Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
- Unify and augment multi-source healthcare datasets (e.g., claims, contract rates, demographics) into high-quality, Analytics-ready data models that power internal and external products
- Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
- Contribute to building, maintaining, and testing data pipelines
- Draft internal and external technical documentation
- Seek and prioritize technical and product feedback from internal customers
- Iterate quickly with an eye towards value
Requirements
- Bachelor’s degree, or equivalent experience/knowledge
- 4+ years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL
- Familiarity with modern AI tooling and frameworks (e.g., OpenAI APIs, vector databases like Pinecone/Weaviate, embedding workflows, RAG architectures)
- Understanding of evaluation strategies and monitoring for LLM-based systems (e.g., hallucination mitigation, eval frameworks, feedback loops)
- Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads
- Strong grasp of data architecture and engineering practices, including ETL/ELT workflows, orchestration tools (e.g., Airflow, dbt), and cloud-based storage (e.g., S3, Redshift)
- Entrepreneurial mindset: prioritize tasks with an eye for evolving business needs; problem solve independently
- Comfortable working remotely in a collaborative, technical team
Nice-to-Haves
- Revenue cycle, healthcare payments and/or medical billing experience
Benefits
- Competitive pay with equity options
- Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options
- Company-sponsored disability & life insurance
- Unlimited PTO
- 401(k) + 4% Matching
- Fully remote work + flexible working hours
- $750 work-from-home setup budget
- Paid biannual in-person company summits
- Quarterly $150 co-hanging stipend to meet up with coworkers
- Monthly $100 health and wellness benefit
- Generous paid family leave
- Annual $1,200 learning & development stipend
Skills
PythonSQLOpenai ApisPineconeWeaviateRAGAirflowdbtETLELTS3Redshift
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