Sr Software Engineer, AI Platform
- Location
- Seattle
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- USD 150,000–180,000/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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
Requirements
- Bachelor's degree in Computer Science, Software Engineering, AI/ML, or related field with 5+ years of experience, or Master's degree with 2+ years
- 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
- 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
Skills
- Python
- LLM
- GCP
- AWS
- Vertex AI
- SageMaker
- MLflow
- Datadog
- OpenTelemetry
- Private Cloud
- Computer Vision
- GenAI
- Edge AI
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