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Senior Software Engineer, LLM Platform

Handshake· Engineering
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San Francisco, CA$176k - $220kFull-timePosted 3mo ago

About the role

Senior LLM Platform Engineer responsible for building and operating the shared LLM infrastructure, gateways, and related platform systems to support Handshake’s core marketplace and Handshake AI.

Responsibilities

  • Build and operate our LiteLLM-based AI gateways and shared LLM clients.
  • Own provider and model onboarding, routing, failover, rate limits, and capacity planning.
  • Build self-service virtual-key, model-access, budget, and credential-management workflows.
  • Establish SLOs, observability, cost attribution, and alerts for production LLM traffic.
  • Safely qualify and roll out new models, providers, SDKs, and gateway configurations.
  • Support hosted and self-hosted inference through a consistent platform interface.
  • Partner with product, AI, and FDE teams to turn recurring delivery problems into paved-platform capabilities.
  • Contribute to the broader Data and ML Platform, including workflow orchestration, model serving, shared cloud infrastructure, and developer tooling.
  • Participate in team on-call and support, improving runbooks, automation, and reliability across owned platform services.

Qualifications

  • Strong production software engineering experience in Python, TypeScript, Go, or a similar language.
  • Experience building or operating high-throughput API gateways, proxies, or multi-tenant platform services.
  • Hands-on experience with Kubernetes, Terraform, CI/CD, and production service ownership.
  • Practical experience with LLM provider APIs, including streaming, long-running requests, retries, timeouts, cancellation, and rate limits.
  • Experience with authentication, quotas, credential management, tenant isolation, and auditability.
  • Experience building observability for distributed systems and leading production incident response.
  • Experience with usage metering, cost attribution, capacity planning, or FinOps.
  • Experience with data or ML platform systems such as BigQuery, Airflow, streaming pipelines, model serving, or ML observability.
  • Strong judgment in ambiguous environments and a bias toward simple, reliable systems that scale.

Skills

Required:PythonTypeScriptGoKubernetesTerraformCI/CDLLM provider APIs

Benefits

  • Ownership: Equity in a fast-growing company
  • Financial Wellness: 401(k) match, competitive compensation, financial coaching
  • Family Support: Paid parental leave, fertility benefits, parental coaching
  • Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
  • Growth: $2,000 learning stipend, ongoing development
  • Remote & Office: Internet, commuting, and free lunch/gym in our SF office
  • Time Off: Flexible PTO, 15 holidays + 2 flex days
  • Connection: Team outings & referral bonuses
Last updated Sep 24, 2026. Interested? Apply on the company site.
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