Senior AI Engineer
Core
Build AI products (LLM-based coaching, agentic workflows, orchestration) that guide job seekers to their next best step using evidence-based labor market data.
Role type
Senior AI Engineer (Applied ML & LLM Product)
Builds
LLM-based coaching products, agentic workflows, evaluation harnesses, and data pipelines for workforce development.
Domain
Workforce development / Labor market data / AI
Deliverable
production ML models
Required skills
Applied ML/AI engineering, LLM product development, agentic workflows, tool use, orchestration, evaluation discipline, classical ML, Python, SQL, data engineering, integration engineering, safety guardrails
Preferred skills
AWS/SageMaker, jobs-and-skills data, case management systems, recommender systems, RAG, labor economics
Technologies
Python, SQL, LangChain, LangGraph, vector search, RAG, scikit-learn, Airflow, dbt, PostgreSQL, Redshift, MongoDB, AWS, Looker, Quicksight
Responsibilities
Design and ship LLM-based product experiences, build evaluation harnesses and quality metrics, develop predictive/classification models, prepare and govern data pipelines, integrate AI systems with internal/external tools.
Seniority
Senior, hands-on IC