Senior AI Engineer (Agentic AI, Enterprise Platform)
Carlsbad, CA (5 days onsite)
Comp: $190,000 - $210,000
Enterprise AI enablement for utilities
Overview
We are supporting a global enterprise software company building a centralized AI Enablement function that will act as the “hub” powering AI adoption across multiple product lines. This is a hands-on engineering role focused on shipping production-grade AI capabilities that can be reused across business units and embedded into customer-facing products over time.
What you’ll do
Build and ship agentic AI capabilities that work across multiple systems and data sources
Design and implement RAG solutions over code and documentation, with a focus on reliability and usability in brownfield environments
Help develop internal AI frameworks and patterns that product engineering teams can adopt
Partner with engineering teams across business units to drive adoption, enablement, and consistent standards
Contribute to governance, security, scalability, and production readiness of AI features and internal tools
Stay current on the GenAI ecosystem and bring pragmatic recommendations on tools, patterns, and tradeoffs
Tech stack and environment
Python-first development
RAG and vector search (OpenSearch used as a vector store)
Agent frameworks: LangChain, LangGraph (building internal multi-agent framework)
Tooling ecosystem includes GitHub Copilot, Atlassian stack, Office 365
Cloud hosting in AWS (for internal AI services)
What we’re looking for
Strong software engineering fundamentals with real production “battle scars” (reliability, scalability, security)
Experience building and shipping GenAI features into production (not just side projects or POCs)
Solid Python experience
Familiarity with RAG, vector databases/search, and modern agentic workflows is strongly preferred
Comfortable influencing and working with a wide internal audience, not a heads-down-only role
Must be able to work onsite 5 days per week in Carlsbad, CA
Must have US permanent residency or citizenship (required)
Interview process
Recruiter screen
Quick technical screen (virtual) with a senior AI engineer
Onsite panel (same day): Lead Architect, Product Leader, and Hiring Manager
Decision made quickly after onsite
About People In AI
People In AI is a specialist recruiting firm focused exclusively on AI and data. We help candidates get clarity on role scope, team expectations, and interview process upfront, and we act as a tight feedback loop with hiring teams so you are not left guessing where you stand.
