Applied AI Engineer
Electric Reliability Council of Texas (ERCOT)1 day ago
Taylor, TX, USASenior
Base Salary
$145k - $200k/yr
Responsibilities
- Translate ambiguous business problems into scoped technical roadmaps while identifying data access, compliance, latency, and cost 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, reranking, retrieval evaluation, and content freshness.
- Build secure connectors that provide standardized agent access to enterprise tools and data.
- Deploy and integrate applications with managed cloud platforms, enterprise systems, and collaboration tools.
- Build evaluation suites, tracing, monitoring, and rollback paths for reliable production operation.
- Define scalable application architectures, data flows, integration boundaries, and reusable reference components.
- Work directly with non-technical business owners and maintain knowledge of evolving LLM capabilities and AI development stacks.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, or equivalent education and experience.
- At least 5 years of job-related experience in AI/ML or software engineering beyond degree requirements.
- Proven experience building and deploying production-grade autonomous agents rather than prototypes.
- Experience with agent orchestration frameworks such as LangGraph, Microsoft Agent Framework, or comparable tools.
- Experience with production RAG, vector search, and vector databases including pgvector, Azure AI Search, or Databricks Vector Search.
- Strong Python skills and hands-on LLM API integration experience.
- Understanding of scalable, reliable, maintainable system design and API and integration-boundary trade-offs.
- Experience building or extending tool and data connectors for LLM applications and deploying applications on managed cloud platforms.
- Knowledge of AI governance, model lifecycle management, and evaluation methodology.
- Ability to scope ambiguous problems, work with non-technical stakeholders, and operate autonomously.
- Preferred experience with multi-application solution architecture, security-by-design, reference architecture, Databricks data platforms, regulated industries, multi-agent orchestration, and context engineering.
- Preferred cloud or AI/ML certification such as Azure AI Engineer, AWS Machine Learning, or Databricks certification.
Benefits
- Hybrid schedule in Taylor, Texas, with two days per week in the workplace.
Tech Stack
AWSAzureDatabricksDockerGitGitHub ActionsHelmKubernetesOpenShiftOracle DatabasePostgreSQLPowerShellPythonSQL
Categories
About Electric Reliability Council of Texas (ERCOT)
The Electric Reliability Council of Texas (ERCOT) is the independent system operator for most of Texas, operating the state’s electric grid and competitive power markets as a membership-based 501(c)(4) nonprofit. It schedules generation, manages transmission, settles the wholesale market, and administers retail switching. ERCOT serves about 27 million customers—roughly 90% of Texas’s load—over a grid with 54,100+ miles of transmission and 1,250+ generation units. Headquarters: Taylor, Texas.