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 scoped 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 for ERCOT's energy grid operations.
Domain
Energy (Power Grid/Wholesale Market) + Generative AI
Deliverable
production ML models
Required skills
Agent orchestration (LangGraph, Microsoft Agent Framework), Production RAG (vector search, embeddings, hybrid search), Python, LLM API integration, System design, Tool/data connector development, Cloud deployment (Azure, Kubernetes), AI governance & evaluation methodology.
Preferred skills
Solution architecture across multiple applications, Large-scale data platforms (Databricks), Regulated industry experience, Multi-agent orchestration.
Technologies
LangGraph, Microsoft Agent Framework, LangChain, LlamaIndex, Azure OpenAI, Claude API, pgvector, Databricks Vector Search, Azure AI Search, Python, Kubernetes, OpenShift, Docker, Helm, GitHub Actions, ServiceNow, Jira.
Responsibilities
Translate ambiguous business problems into technical roadmaps; Design and build production agentic systems with planning, tool-calling, and memory; Implement production RAG pipelines with retrieval-quality evaluation; Build connectors for secure agent access to enterprise tools; Deploy applications on managed cloud platforms; Build evaluation suites and monitoring for reliability; Work directly with non-technical business owners to scope workflows.
Seniority
Senior, hands-on IC
