Applied AI Engineer
Core
Builds production-grade autonomous AI agents and RAG pipelines for the Texas power grid and wholesale market, translating business problems into technical roadmaps and deploying reliable, auditable systems.
Role type
Senior Applied AI Engineer (Generative AI & Agent Orchestration)
Builds
Production agentic systems, RAG pipelines, and enterprise AI applications
Domain
Energy (Power Grid) + Generative AI
Deliverable
production ML models
Required skills
Agent orchestration (LangGraph, Microsoft Agent Framework), Production RAG (vector search, embeddings), Python, LLM API integration, System design, Tool/data connector development, Cloud deployment (Azure, OpenShift), AI governance & evaluation
Preferred skills
Multi-agent orchestration, Large-scale data platforms (Databricks), Regulated industry experience, Solution architecture
Technologies
LangGraph, Microsoft Agent Framework, LangChain, LlamaIndex, Azure AI Search, Databricks Vector Search, pgvector, Azure, OpenShift, Docker, Kubernetes, GitHub, ServiceNow
Responsibilities
Design and build production agentic systems with planning, tool-calling, and memory; Implement RAG pipelines with chunking, hybrid search, and reranking; Build secure connectors for enterprise tools; Deploy applications on managed cloud platforms; Build evaluation suites and monitoring for production reliability; Work with non-technical business owners to scope ambiguous problems
Seniority
Senior, hands-on IC
