Senior AI Product Engineer for Sustainability Platform

Rozgoo

United States

Hybrid

USD 140,000 - 190,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Watershed, an enterprise sustainability platform, seeks a software engineer specializing in AI to lead and build AI-powered reporting tools. You will leverage LLMs, embeddings, and other AI technologies to create features for customers and lay the technical foundations for AI at Watershed.

The role is based at our HQ in London, with a requirement to be in-office 4 days a week; flexible for remote candidates only where noted.

Qualifications

  • 2+ years of working building AI powered products.
  • 5+ years in software engineering.
  • Experience building products using LLMs, embeddings and other ML technologies.
  • Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies.
  • Experience leading cross functional teams in an innovative fast moving environment.
  • Strong foundational understanding of machine learning models and practice, including model evaluation and performance.
  • Strong full-stack development skills.
  • Must be willing to work from an office 4 days per week (except for remote roles).

Responsibilities

  • Prototype, develop and iterate on a new product area for Watershed, giving our customers powerful AI tools for information extraction and report generation
  • Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
  • Collaborate with product and other AI engineering teams to set product and technical strategy
  • Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed
  • Write performant, well-crafted, tested, and maintainable code across our technical stack

Skills

AI-powered products
LLMs
Embeddings
Full-stack development
Cross-functional collaboration
Team leadership

Tools

ML tooling

Job description

Watershed, an enterprise sustainability platform, seeks a software engineer specializing in AI to lead and build AI-powered reporting tools. You will leverage LLMs, embeddings, and other AI technologies to create features for customers and lay the technical foundations for AI at Watershed.

The role is based at our HQ in London, with a requirement to be in-office 4 days a week; flexible for remote candidates only where noted.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Staff software engineer, AI product
Staff software engineer, AI product

Rozgoo • United States

Hybrid
USD 140,000 - 190,000
Senior software engineer, AI platform
Senior software engineer, AI platform

Watershed • San Francisco (CA)

On-site
USD 130,000 - 180,000
Senior AI Platform Engineer: Agent Infra & Observability
Senior AI Platform Engineer: Agent Infra & Observability

Watershed • San Francisco (CA)

On-site
USD 130,000 - 180,000
Product Marketing Manager — AI-Driven Growth for ESG
Product Marketing Manager — AI-Driven Growth for ESG

Rozgoo • United States

Remote
USD 120,000 - 170,000
AI Product Designer for Climate & Sustainability
AI Product Designer for Climate & Sustainability

Watershed • San Francisco (CA)

On-site
USD 120,000 - 150,000
AI-Driven Energy Software Engineer (Early-Stage)
AI-Driven Energy Software Engineer (Early-Stage)

Open CEDA • New York (NY)

Hybrid
USD 120,000 - 180,000
Senior Product Manager, Data Platform (AI-First)
Senior Product Manager, Data Platform (AI-First)

Rozgoo • San Francisco (CA), New York (NY), Denver (CO)

On-site
MXN 540,000 - 900,000
Senior Software Engineer — Climate Data & AI Insights
Senior Software Engineer — Climate Data & AI Insights

Watershed • San Francisco (CA)

On-site
USD 120,000 - 170,000
Staff Software Engineer (Product)
Staff Software Engineer (Product)

Watershed • San Francisco (CA)

On-site
USD 180,000 - 230,000
Product designer
Product designer

Watershed • San Francisco (CA)

On-site
USD 120,000 - 150,000