Applied AI Engineer - Hybrid (Houston)

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers' lives easier-helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

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Job Summary

We are seeking a highly skilled Applied AI Engineer to join our Data & AI team as a full-time employee. This role is ideal for an engineer with deep expertise in Generative AI (GenAI) technologies and a proven track record of delivering production-grade AI solutions. The Applied AI Engineer will design, build, and scale GenAI applications, while also contributing to enterprise standards, reusable frameworks, and the overall maturity of our AI engineering practices.

This position requires someone who can balance hands-on solution delivery with technical leadership in design, integration, and optimization , ensuring our AI initiatives deliver measurable business impact.

Key Responsibilities :

Solution Engineering & Delivery

• Translate business requirements into robust, scalable AI solutions using RAG, embeddings, vector search, and fine-tuning.
• Design, prototype, and implement LLM-driven applications with multi-step agent workflows and orchestration frameworks (e.g., LangGraph, LangChain, LlamaIndex).
• Build and maintain APIs, services, and reusable components in Python to support AI applications.
• Deploy and monitor AI models in cloud-native environments (GCP, Azure) leveraging Kubernetes, serverless, and MLOps pipelines.
• Continuously evaluate model / system performance and implement improvements.

Architecture & Standards

Collaboration & Integration

Working Conditions :

Minimum Requirements :

Preferred Qualifications :

Additional Attributes :

If you reside in or intend to work remotely from California, Colorado, Connecticut, Hawaii, Illinois, Minnesota, Nevada, New York, Ohio, Washington D.C., Washington State or another state or locality with a pay transparency law, you may contact Careers@nrg.com for compensation information related to this position and other information as required by applicable law. Please include the job title in your request.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M / F / Protected Veteran Status / Disability. Level, Title and / or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http : / / www.eeoc.gov / employers / upload / poster_screen_reader_optimized.pdf)

Official description on file with Talent.