Experience:

• 5+ years of professional experience in software development, applied science, or ML engineering, with a bachelor’s degree
• 2+ years of professional experience in software development, applied science, or ML engineering, with a master’s degree
• Experience building LLM, RAG, agentic, or tool-calling systems in production or near-production environments
• Strong Python and backend engineering skills
• Experience with prompt engineering, retrieval, vector stores, evaluation, and cloud deployment
• Familiarity with distributed systems, APIs, observability, and CI/CD workflows
• Excellent problem-solving and cross-functional communication skills

Qualification:

• Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field
• Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field

Responsibilities:

• Build reusable agentic platform capabilities for smart-home experiences
• Build agent orchestration, tool registry, memory, RAG/retrieval, and prompt/version management systems
• Develop replay, debugging, tracing, observability, and evaluation patterns for agentic workflows
• Define safety gates, action boundaries, grounding strategies, and customer-trust mechanisms for agents
• Create reusable agent primitives for Home Highlights, search, summaries, automations, personalization, and future smart-home use cases
• Partner with AI Platform, Product, Analytics, Privacy, and Engineering to productionize agentic experiences
• Mentor teams on agent architecture, retrieval quality, memory design, and evaluation practices

Nice to have:

• Experience with Google ADK, LangGraph, LangChain, OpenAI Agents SDK, Anthropic, LlamaIndex, or similar frameworks
• Experience with AI memory systems, workflow orchestration, agent tracing, or replay/debugging tools
• Experience building consumer-facing AI products, assistants, automations, or recommendation systems
• Experience with privacy, safety, grounding, or evaluation for LLM-powered products
• Experience with smart home, IoT, edge/cloud, or real-time event systems

More skills:

agent orchestration, tool registry, memory, prompt/version management, replay, debugging, tracing, observability, safety gates, action boundaries, grounding strategies, customer-trust mechanisms, agent primitives, Home Highlights, search, summaries, automations, personalization, distributed systems, APIs, CI/CD, Google ADK, LangGraph, AI memory systems, workflow orchestration, agent tracing, consumer-facing AI products, assistants, recommendation systems, privacy, safety, smart home, IoT, edge/cloud, real-time event systems

Other:

• Date: Jul 7, 2026
• Base salary range: $150K to $180K
• Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards
• Benefits program may include medical, vision, dental, 401K, and flexible spending accounts
• Highlighted perks include paid holidays and flexible paid time away
• Employee/Friends/Family Discounts
• Medical/dental/vision/life coverage and 24/7 Medical Hotline
• 401(k) + Employer Match
• Employee Resource Groups
• NRG Energy is committed to a drug and alcohol-free workplace
• Employees may be subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing
• EOE AA M/F/Vet/Disability
• Level, Title and/or Salary may be adjusted based on the applicant’s experience or skills
• Official description on file with Talent
• Employer values a dynamic work environment and a unified and inclusive culture
• Role is within the intersection of energy and home services
• NRG aims to create a smarter, cleaner and more connected future
• Vivint culture and growth are highlighted as part of the workplace