Sr Software Engineer, AI Platform
Bellingham, Whatcom County, Washington, 98227, USA
Listed on 2026-07-30
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
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 Connect with NRG on Facebook, Instagram, Linked In and X.
About This RoleWe 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.
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
Experience with LLM-as-judge, agent tracing, multimodal evals, golden datasets, or automated regression suites
Experience with GCP/AWS, Vertex AI, Sage Maker, MLflow, Datadog, Open Telemetry, 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
Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule.
Working at Vivint:Learn about the Vivint Culture () and why it’s a great place to grow your career!
Here are some highlighted perks you should ask us about:Paid holidays and flexible paid time away
Employee/Friends/Family Discounts
Medical/dental/vision/life coverage & 24/7 Medical Hotline
401(k) + Employer Match
Employee Resource Groups
The base salary range for this position is: $150K to $180K
* * The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).