Sr Software Engineer, AI Platform

NRGVIRTUAL, WA
$150,000 - $180,000

About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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.

Benefits

  • 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
  • medical
  • vision
  • dental
  • 401K
  • flexible spending accounts
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