Forward Deployed AI/ML Engineer IV

You’re likely a great fit if you

And even better if you

Experience and Skills to Qualify Include

• Bachelor’s degree in computer science, engineering, statistics, or a related quantitative field
• Five or more years of engineering experience, including generative AI (GenAI) or machine learning (ML) systems shipped to production and iterated on based on real usage
• Expert proficiency in Python and working proficiency in at least one of TypeScript, Scala, or Java
• Hands-on production experience with at least one major model provider or open-weights stack, and one vector or hybrid retrieval system
• Experience building and applying evaluation frameworks for large language model (LLM) and ML systems, including retrieval-augmented generation (RAG), agentic or multi-agent systems, structured extraction, or text-to-SQL
• Experience with LLM operations (LLMOps): model serving, latency and cost management, prompt and model versioning, monitoring, and regression detection
• Working knowledge of at least one major cloud ecosystem (Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)); experience with AWS and Databricks strongly preferred
• Proficiency with Git, Docker, and continuous integration and continuous delivery (CI/CD) tools
• Experience using AI coding assistants and agentic development tools to rapidly prototype, test, and iterate on working software
• Experience in the energy or utility industry, or another asset-heavy sector, with working familiarity of the systems, data, and operational constraints utilities face
• Experience shipping on compressed timelines, from first conversation to a working system in weeks rather than quarters
• At E Source, you’ll work alongside people who are thoughtful, curious, and deeply knowledgeable about utility and energy systems. We value clarity over jargon, substance over flash, and collaboration over ego. You’ll have the opportunity to grow your skills, contribute to meaningful work, and help shape a company that plays a real role in how the energy future unfolds.

What you can expect

The budgeted salary for this position is $175,000–$200,000 USD + annual bonus.

• Actual pay will be adjusted based on experience.
• This role is remote-based with significant travel to client sites, generally 30 to 50% and varying by engagement, including extended on-site periods during discovery, deployment, and go-live.
• Applicants must be authorized to work for any employer in the US or Canada. We’re unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
• Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources.
• We contact applicants directly via email using only our designated company email addresses with the domain of @ esource.com . Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses.
• #LI-Remote