Forward Deployed Engineer, Applied AI
About The Position
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. 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.
Requirements
- You are a strong software engineer who wants to stay close to users and implementation.
- You can turn an ambiguous operational problem into a concrete system without overpromising.
- You are comfortable with messy data, unfamiliar workflows, and high-trust customer environments.
- You can explain technical results clearly to both engineers and business operators.
- You know when to build something reusable and when a focused implementation is the right answer.
- You have strong judgment about reliability, security, credibility, and customer trust.
- You want significant ownership on a small team rather than a narrow solutions-engineering lane.
- Strong Python, SQL, API, and production software experience.
- Experience integrating ML or data-intensive systems into real customer workflows.
Nice To Haves
- Forward deployed engineering, customer engineering, implementation engineering, applied AI, data engineering, or product engineering.
- Experience in battery storage, wholesale power, grid operations, industrial systems, finance, or another operationally complex domain is valuable.
- Experience with internal tools, technical documentation, notebooks, or customer-facing analysis is useful.
- High-slope candidates can fit if their engineering depth and customer judgment are exceptional.
Responsibilities
- 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.
Benefits
- medical and dental benefits
- meaningful early-stage equity
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
