Staff software engineer, AI product

Watershed
London
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Leadership","Communication","Problem-solving","Teamwork","Collaboration"]

Software engineer specializing in AI to join Watershed's sustainability AI reporting team. Lead technical efforts leveraging LLMs and embeddings to build AI-powered features, prototype new product areas, collaborate across product and AI teams, and ensure scalable, well-tested code. Based in London HQ 4 days/week with a focus on end-to-end ML product lifecycle and staying at the forefront of AI developments.

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FursaFursa
Watershed
Watershed
Recent

Staff software engineer, AI product

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Software engineer specializing in AI to join Watershed's sustainability AI reporting team. Lead technical efforts leveraging LLMs and embeddings to build AI-powered features, prototype new product areas, collaborate across product and AI teams, and ensure scalable, well-tested code. Based in London HQ 4 days/week with a focus on end-to-end ML product lifecycle and staying at the forefront of AI developments.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key 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.

Key Requirements

  • •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.
  • •A strong foundational understanding of machine learning models and practice, including model evaluation and performance.
  • •Strong full-stack development skills.
Experience:SustainabilityEnterprise softwareAi
Skills:LeadershipCommunicationProblem-solvingTeamworkCollaboration
Languages:English
Tech Stack:LLMsEmbeddingsML

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