Forward Deployed Engineer
AI summary of the role
P-1 AI is hiring a Forward Deployed Engineer to serve as the technical lead for customer deployments of Archie, an AI engineer agent for physical-world design.
What you’ll do
- Lead discovery sessions and translate engineering challenges into AI use cases
- Design, implement, and refine customer integrations connecting Archie to engineering data sources and tools
- Fine-tune and evaluate AI systems in production environments using customer data
- Collaborate with subject matter experts and AI specialists to develop novel AI systems
What you’ll bring
- Experience shipping data-driven or AI systems to production (Python strongly preferred)
- Physical engineering background (automotive, aerospace, electrical, mechanical, etc.)
- Ability to rapidly build integrations between disparate customer systems
- Comfortable working directly with customers and technical leaders
Technologies
Python · AI systems · fine-tuning · model evaluation · data integration · production deployment · customer integration · root-cause analysis
About P-1 AI
Builds Archie, an AI engineer for physical-product design — quantitative intuition plus engineering-tool use, sold to industrial, aerospace, and data-center teams.
Seed
Source and classification
Production engineering · Evidence for this classification:
RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI. About the opportunity: Our Forward Deployed Engineers serve as the technical lead for each customer deployment, making key technical decisions on architecture, data integrations, and user experience for specific customer missions. On a daily basis, you will build end-to-end AI solutions, take them into production, and support our customers solving real-world physical engineering problems with novel AI capabilities. About the role: Work with customers
More from the job description
TL;DR: If you: can rapidly prototype, integrate, and ship AI systems into production; love turning messy real-world problems into elegant technical solutions; have built something remarkable, at work or outside of it… … you should apply for this role! About P-1 AI: At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI. About the opportunity: Our Forward Deployed Engineers serve as th [... source excerpt omitted ...] chnical lead for each customer deployment, making key technical decisions on architecture, data integrations, and user experience for specific customer missions. On a daily basis, you will build end-to-end AI solutions, take them into production, and support our customers solving real-world physical engineering problems with novel AI capabilities. About the role: Work with customers over the entire Archie product lifecycle: Lead discovery sessions, translate engineering challenges into AI use cases, design how Archie integrates into each workflow, and provide post-deployment support to ensure customer success. Design, implement, and refine customer integrations: Connect Archie [... source excerpt omitted ...] lue. Fine-tune and evaluate AI systems in production environments: Identify, collect, and prepare customer data to fine-tune models. Source evaluation criteria and questions from customer sessions to validate improved engineering capability. Collaborate with engineering teams: Work closely with subject matter experts and AI specialists to develop novel AI systems capable of executing critical customer engineering tasks. Diagnose and resolve critical issues in live deployments: Drive root-cause analysis and implement durable improvements across the organization. About you: Experience shipping data-driven or AI systems to production (Python experience strongly preferred). A p
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