AI Engineer

Namely; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Healthcare

Dental

Vision

401(k) match

Unlimited PTO

Job summary

Namely is seeking a candidate to develop and enhance Archie, an AI engineering assistant. The role includes transitioning AI research into delivery and building efficient engineering solutions. You will work with a talented team focused on advancing engineering AI capabilities.

Ideal candidates should have experience in deep learning, proficiency in Python, and a background in building physical systems. Competitive benefits include a competitive salary, equity ownership, and unlimited PTO.

Qualifications

• Experience transitioning AI research prototypes into delivered products.
• Deep learning experience with strong understanding of machine learning and large language models.
• Fluent in Python and familiar with agentic frameworks.

Responsibilities

• Develop agentic engineering reasoning to solve real engineering design problems.
• Build, improve, and maintain the agentic harness and its tool integrations.
• Collaborate with research scientists to identify capability gaps and develop custom models.

Skills

Deep learning experience

Fluent in Python

Experience transitioning AI research prototypes

Understanding of machine learning

Experience building physical systems

Job description

TL;DR: If you:

• have a demonstrated track record of turning ambitious AI ideas into products people actually use
• move effortlessly between research and engineering
• have shipped something extraordinary, at work or outside of it
• are relentlessly curious about how things work…

… 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 are backed in our mission by some of the top venture investors and AI luminaries.

About the opportunity

We’re building toward engineering ASI, and every capability we ship moves us closer. You’ll work on the fundamental systems that allow Archie to reason, learn, and operate in complex engineering domains—taking ideas from whiteboards and papers all the way to production deployments.

About the role

• Develop agentic engineering reasoning through methods ranging from structured representation to formal methods to solve real engineering design problems.
• Build, improve and maintain our agentic harness and its tool integrations.
• Ground the quality of your work by regularly running evaluations and tests.
• Analyze production traces to identify failure modes and investigate customer‑reported bugs.
• Collaborate with research scientists to identify gaps in current model capability, help develop custom models and transition them into the core product.
• Stay up‑to‑date with new agentic frameworks and capabilities, and bring promising ideas into reality.

About you

• Experience transitioning AI research prototypes into delivered products.
• Deep learning experience with strong fundamental understanding about machine learning, large language models, and agentic harnesses.
• Fluent in Python and common agentic frameworks (for example LangChain).
• Experience building physical systems (Aerospace, Mechanical, Robotics, other).

Location

Onsite in San Mateo, CA. Relocation support available.

Benefits

Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.

Interview process

• Initial screening call (30 mins)
• Biographical/behavioural interview (45 mins)
• Technical interview (60 mins)
• CEO interview (30 mins)