About the role

  • build, ship, and operate secure, scalable components of a cloud AI platform, APIs, services, distributed data jobs, and the tooling that powers our developers
  • Design and implement cloud native services and APIs (REST/gRPC) with robust authentication/authorization (e.g., OAuth2/OIDC, key management), multi tenancy, quotas, and rate limiting
  • Contribute to distributed processing (batch and streaming) for ingestion, normalization, and feature/vector pipelines that power search, retrieval, and inference
  • Integrate services with model endpoints, vector indexes, and metadata/catalog systems; follow contracts and versioning standards for backward compatibility
  • Add telemetry by default (logs, metrics, traces); build dashboards/alerts; participate in incident response and post incident improvements
  • Automate with CI/CD and Infrastructure as Code; create repeatable environment provisioning and deploy patterns (blue/green, canary)
  • Contribute with high quality docs, SDK samples, and usage examples, support consumer onboarding and access workflows
  • Write clean, well tested code; perform reviews; uphold secure coding and reliability practices; maintain runbooks and API specs
  • Participate in on call rotation; proactively improve availability, latency, and cost efficiency

Requirements

  • Requires an BA/BS degree in Information Technology, Computer Science or related field of study
  • minimum of 3 years experience on one platform, multi database, multi language or multi business application
  • Experience mentoring others, leading small projects and providing troubleshooting support is strongly preferred
  • Solid grasp of API design (OpenAPI), eventing/message queues, and SQL/NoSQL data stores
  • Familiarity with vector databases and embeddings integration
  • Hands on with containers/orchestration, CI/CD, IaC, secrets/IAM, and observability concepts
  • Comfort with batch/stream processing paradigms and job orchestration (DAG based schedulers)

Benefits

  • merit increases
  • paid holidays
  • Paid Time Off
  • incentive bonus programs (unless covered by a collective bargaining agreement)
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • 401(k) +match
  • stock purchase plan
  • life insurance
  • wellness programs
  • financial education resources

Job title

AI Platform Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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