Forward Deployed Engineer, Applied AI
The posting does not state a salary. This range is our estimate from the role, the location and the stack — treat it as a guide, not an offer.
- Level
- Mid
- Apply from
- United States
About the role
- Translate operator workflows into technical plans.
- Build data integrations and applied-AI workflows.
- Deliver customer-facing technical work.
- Establish clear success criteria for projects.
- Maintain a tight feedback loop with users.
Skills the posting asks for
- machine learning
- data integration
- software development
Summarised from the employer’s posting, which is reproduced in full below.
The employer’s full posting
About Parisi Labs
Parisi Labs is an AI company building learning systems for complex physical environments. We combine historical and live data with real operational context to help people understand the present, evaluate possible futures, and make better decisions.
Energy is our first proving ground. Ask The Grid (https://askthegrid.com) is our public product for exploring the systems, markets, and assets that make up the power grid. We are a small technical team working across machine learning, data infrastructure, software, and real-world operations.
About The Role
We are looking for a Forward Deployed Engineer to take important operator problems from first conversation to working technical delivery.
Our initial focus is battery-storage owner-operators. They make frequent decisions inside a changing market while respecting the physical and commercial constraints of real assets. You will work alongside them, understand how those decisions are made, build the necessary integrations and workflows, and bring what you learn back into Ask The Grid and our core technology.
This is an engineering role, not a pre-sales demo role. You will write production-quality code, work directly with users, and decide which parts of an engagement should become reusable product or infrastructure.
What You Will Own
- Learn how an operator works today and translate that workflow into a clear technical plan.
- Build data integrations, internal tools, and applied-AI workflows that solve the agreed problem.
- Deliver customer-facing technical work from initial scoping through reliable operation.
- Establish clear success criteria and make technical results understandable to operators and executives.
- Debug issues with users while turning repeated friction into better product, tooling, and documentation.
- Identify reusable patterns across engagements without forcing every customer into the same implementation.
- Maintain a tight feedback loop among customers, product, data, research, and engineering.
- Earn trust through technical judgment, precise communication, and disciplined scope.
First 90 Days
- 30 days: Learn Ask The Grid, our initial operator workflows, and the technical path from customer context to a credible implementation plan.
- 60 days: Own a meaningful technical workstream with an operator and ship a working result.
- 90 days: Complete an end-to-end engagement milestone and turn the reusable lessons into product, tooling, or integration improvements.