Sr Software Engineer, AI Platform

About the 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:

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.
• Create 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.

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

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

Job Functions

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.

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

Pay

The base salary range for this position is: $150K to $180K*

Schedule

The position will start remote and then will move into the hybrid schedule.

Safety

Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues.

Equal Opportunity Employer

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/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.