Sr Software Engineer, AI Platform
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.
Overview
Job Description
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.
More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.
About This Role
We are seeking a Sr AI Platform Engineer to build the shared product-integrity layer for customer-facing AI systems. This role will create the evaluation, observability, safety, and launch-readiness infrastructure needed to ship AI features with measurable quality, reliability, and customer impact. In this role, you will be responsible to:
- Build shared evaluation infrastructure for models, prompts, agents, and multimodal AI systems.
- Own golden datasets, regression suites, offline and online evals, and LLM-as-judge governance.
- Develop observability for model quality, latency, cost, drift, safety, and customer impact.
- Create launch-readiness gates for AI features across camera, agentic, personalization, multimodal, and energy products.
- Partner with Product, Analytics, Privacy, Security, and Engineering on trustworthy AI productization.
- Define reusable standards for AI quality, monitoring, safety, and operational readiness.
Required Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or
- Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
- Experience evaluating, deploying, or monitoring production AI systems
- Strong Python and data engineering skills
- Experience with offline/online evaluation, data quality, model monitoring, or observability systems
- Familiarity with LLM evaluation, prompt evaluation, model regression testing, or safety guardrails
- Strong communication skills and ability to set standards across teams
Preferred Qualifications:
- Experience with LLM-as-judge, agent tracing, multimodal evals, golden datasets, or automated regression suites
- Experience with GCP/AWS, Vertex AI, SageMaker, MLflow, Datadog, OpenTelemetry, Private Cloud or similar tooling
- Experience with privacy-aware AI systems, customer trust metrics, or launch-readiness processes
- Experience supporting computer vision, GenAI, recommendation, or edge AI products
- Experience building developer platforms or internal AI tooling
Working at Vivint:
Learn about the
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
