Note: The job is a remote job and is open to candidates in USA. Vivint is a company focused on creating a smarter, cleaner, and more connected future in the energy and home services sector. They are seeking a Senior AI Platform Engineer to build infrastructure for customer-facing AI systems, ensuring quality and reliability in AI features. The role involves developing evaluation and observability systems and collaborating with various teams to implement trustworthy AI solutions.

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

Skills

• 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, 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

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

Company Overview

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