Staff software engineer, AI platform

Watershed Technology, Inc

$130K — $180K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in backend, platform, or AI/ML engineering
  • Experience with products that leverage LLMs and ML technologies
  • Full lifecycle experience with production systems relying on LLMs
  • Expertise in model evaluation and agent observability
  • Proficiency in building production-grade Typescript systems

Responsibilities

  • Design and build agent infrastructure for Watershed products
  • Develop observability and tracing for agent decisions
  • Create safeguards to ensure reliable agent systems
  • Collaborate with teams to define AI autonomy and human oversight
  • Stay updated on AI developments relevant to Watershed
  • Work with product teams to enhance agent experiences
  • Write maintainable, tested code across technical stack

Benefits

  • Accommodations for diverse candidate needs during recruitment
  • Expect an inclusive interview process
  • Working in collaborative office environments across several global locations
  • Engagement with cutting-edge AI and sustainability technology
Full Job Description
The role

Watershed is building the AI suite for companies to measure their emissions and decarbonize their business. We're looking for software engineers to help build the AI platform that powers our agents product. You'll be a technical leader laying the foundations for agentic AI at Watershed - designing the orchestration layer, controls, and tooling that let our product teams ship reliable, observable AI features on top of a wealth of operational sustainability data.

In this role you will:
  • Design and build the agent infrastructure that powers Watershed's products
  • Develop the observability and tracing layer for agent decisions, making it possible to debug, evaluate, and improve agent behavior at scale
  • Build evals, harnesses, and guardrails that turn agent capabilities into production-grade, dependable systems
  • Collaborate with product and other AI engineering teams to set product and technical strategy, and define the boundaries between autonomous agent behavior, deterministic code, and human oversight
  • Keep up with developments and state-of-the-art in AI and agent infrastructure to determine what is relevant to Watershed
  • Work closely with Watershed product teams to contribute your expertise to build agent experiences across the product
  • Write performant, well-crafted, tested, and maintainable code across our technical stack
You might be a good fit if you have:
  • 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


Must be willing to work from an office 4 days per week (except for remote roles)

Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.

What's the interview process like?

It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.

What if I need accommodations for my interview?

At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

Similar Jobs

More Jobs at Watershed Technology, Inc

More Consumer Technology Jobs

Find similar Staff software engineer, AI platform jobs: