Senior Applied AI Engineer: Production Agents & RAG

Electric Reliability Council of Texas; Taylor (TX); Hybrid; USD 149,000 - 205,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Electric Reliability Council of Texas in Taylor, TX seeks an AI systems engineer to translate business problems into technical roadmaps and design production agentic systems. You will address data access, latency, and cost constraints while aligning with governance and security review gates.

You will deploy on cloud platforms, build RAG pipelines with vector search, and create robust evaluation suites to ensure reliable, auditable performance in a regulated energy context.

Qualifications

• Requires 5+ years in AI/ML or software engineering.
• Proven record of building production-grade autonomous agents.
• Experience with agent orchestration frameworks (LangGraph, MS Agent Framework, or comparable).
• Production RAG with vector search and vector databases.
• Strong Python and hands-on LLM API integration.
• System-design fundamentals for scalable services.

Responsibilities

• Translate business problems into scoped technical roadmaps with constraints.
• Design and build production agentic systems with planning, tool-calling, multi-step reasoning, memory, and error recovery.
• Implement production RAG pipelines with chunking, embeddings, hybrid search, and retrieval-quality evaluation.
• Build connectors for secure, standardized access to enterprise tools and data.
• Deploy applications on managed cloud platforms and integrate with enterprise systems.
• Create evaluation suites, tracing, and rollback paths for reliability.
• Collaborate with non-technical business owners to understand workflows and document requirements.
• Stay current with evolving LLM capabilities and implementation patterns.

Skills

Agent orchestration

Python

LLM API integration

Production AI systems

Cloud deployment

Governance & security

Stakeholder collaboration

Education

Bachelor's Degree in CS/DS/IS/Engineering

Tools

LangGraph

Microsoft Agent Framework

LangChain

LlamaIndex

OpenAI API

Azure OpenAI

Databricks

Docker

Kubernetes

GitHub Actions

Job description

Electric Reliability Council of Texas in Taylor, TX seeks an AI systems engineer to translate business problems into technical roadmaps and design production agentic systems. You will address data access, latency, and cost constraints while aligning with governance and security review gates.

You will deploy on cloud platforms, build RAG pipelines with vector search, and create robust evaluation suites to ensure reliable, auditable performance in a regulated energy context.