Senior Applied AI Engineer
Core
Design, implement, and evaluate agentic AI solutions and systems that translate cutting-edge techniques into production features to improve employee experience and workplace performance.
Role type
Senior Applied AI Engineer (Agentic AI Systems)
Builds
Production-grade multi-agentic systems, knowledge graphs, RAG pipelines, and agentic AI features for employee experience platforms.
Domain
HR Tech / People Analytics / Applied AI
Deliverable
production ML models | product features
Required skills
Multi-agentic system design, Knowledge graphs, RAG, LLM evaluation, Prompt engineering, Full-stack development, Data pipeline orchestration, Graph databases
Preferred skills
People analytics, HR tech, Behavioral science applications, Open source contributions
Technologies
LangGraph, Neo4j, Neptune, PGVector, Langfuse, LangSmith, Python, React
Responsibilities
Design and implement agentic AI capabilities for stateful, multi-turn conversations; Build memory systems and context graphs grounded in custom ontology; Evaluate and optimize RAG and hybrid search; Own end-to-end feedback loops for prompt engineering and system improvement; Create and monitor guardrails and safety in production; Partner with product and people science teams to ensure feature fit.
Seniority
Senior, hands-on IC
