Senior software engineer, AI platform

Watershed
San Francisco
Workplace: OnsiteFull timeUSD 202,000 - 255,000 annuallyFunction: Software EngineeringExperience: 6+ yearsSkills: ["Problem-solving","Communication","Collaboration","Analytic thinking"]

Lead backend/AI platform development to build Watershed's agent infrastructure and production‑grade AI features. Design the orchestration layer, controls, and tooling for autonomous agents; implement observability, evals, guardrails; collaborate with product and AI engineering teams; stay current with AI state‑of‑the‑art to guide product strategy and deployment.

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FursaFursa
Watershed
Watershed
2 months ago

Senior software engineer, AI platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead backend/AI platform development to build Watershed's agent infrastructure and production‑grade AI features. Design the orchestration layer, controls, and tooling for autonomous agents; implement observability, evals, guardrails; collaborate with product and AI engineering teams; stay current with AI state‑of‑the‑art to guide product strategy and deployment.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and build the agent infrastructure that powers Watershed's products.
  • •Develop the observability and tracing layer for agent decisions, enabling debugging and improvement at scale.
  • •Build evals, harnesses, and guardrails to turn agent capabilities into dependable, production-grade systems.
  • •Collaborate with product and AI engineering teams to set product and technical strategy, and define boundaries between autonomous agent behavior, deterministic code, and human oversight.
  • •Keep up with developments in AI and agent infrastructure to determine what is relevant to Watershed

Pay and Benefits

Salary: USD 202,000 - 255,000 annually

Key Requirements

  • •6+ years of experience in backend, platform, or AI/ML engineering
  • •Experience building products and infrastructure that leverage LLMs, embeddings, and other ML technologies
  • •Full lifecycle experience building, deploying, and monitoring production systems that depend on LLMs or other ML technologies
  • •Experience with model evaluation, agent observability, and making non-deterministic systems reliable
  • •Experience building and operating production TypeScript systems
Experience:6+ yearsAI/MLLLMsProduction systemsTypeScript
Skills:Problem-solvingCommunicationCollaborationAnalytic thinking
Languages:English
Tech Stack:TypeScriptLLMsEmbeddingsAIObservabilityGuardrails

Company Brief

Watershed
Provides enterprise software to measure, report, and reduce greenhouse gas emissions. Watershed helps companies model emissions, set reduction targets, track progress, and purchase high-quality carbon removals and offsets.
Industry: Climate Tech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2018
Website