About this role
What we're looking for:
We need someone with 3+ years of experience as a product engineer at a high-caliber, AI-native startup (think Harvey, Rogo, Lagora, Happy Robot) who has built deep agentic infrastructure and shipped real AI-powered products. You should be comfortable working at a small, fast-moving founding team and have a track record of pushing AI capabilities beyond basic wrappers and lightweight agent tooling. Bonus points if you've worked on vertical AI platforms with knowledge graphs, multi-provider inference, and governance layers.
What you'll do:
Own and rebuild Paratus's core AI infrastructure, moving it from basic agent capabilities to a cutting-edge, production-grade system
Architect and implement a rich knowledge graph that understands the context of units and teams for mission-critical operations
Build an agentic platform enabling customers to create, refine, and deploy their own agents and triggered workflows
Design and stand up a multi-provider inference harness with robust governance, RBAC, and deterministic workflow enforcement
Contribute to full-stack product engineering work (~30% of time) alongside the founding team, including on-call responsibilities
Work directly with the co-founders to define the technical direction of the AI stack and help set the standard for engineering excellence
Role details
Salary
$170K - $210K
On-site work policy
On-site in San Francisco, CA. Relocation support is not offered. Occasional travel may be expected.
Full-time position
Location
San Francisco, CA
Tech stack
LLMs, RAG, Prompt Engineering, Knowledge Graphs, Agentic Infrastructure, AI Agents, Python, Multi-Provider Inference, RBAC / Governance
Equity
0.75% equity, consistent with other founding engineer packages. Dollar value is difficult to pin at this stage given early fundraising, but represents meaningful ownership as a founding team member.
Visa sponsorship details
Not open to any visas (e.g. US citizen, Green Card holders)
Additional visa sponsorship details
Must be a US Citizen or have a greencard.
Hiring Count
Looking to hire 1 candidate for this role
Report to
https://www.linkedin.com/in/sfbaker7/
Requirements
By tier
By category
Calibrate a candidate in Parabot. to see how well they fit the requirements.
Dealbreaker
Work experience
Experience at a high-growth startup that is building AI-native products (large preference for Seed - Series C stage)
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Education
Bachelors degree from US university in a technical field (CS, Math, Physics, etc.)
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Miscellaneous
U.S. citizen (required for security clearance eligibility)
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Baseline
Seniority
3 - 8 years of experience as a full-stack, backend, or product engineer with work on AI-native products
Work experience
Experience building vertical agentic products
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Hard skills
Has shipped LLM-powered products to real users: builds multi-step agents, retrieval systems, eval harnesses, and iterates on quality, latency, and cost.
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Strong in engineering fundamentals; proficient in TypeScript, Python, Next.js, Express, Postgres, etc.
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Soft skills
Willingness to handle general product engineering tasks in an all-hands-on-deck startup environment
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Nice-to-have
Work experience
Built AI products for DoD or defense tech customers (Legion intel, Palantir, OneBrief, Vannevar Labs, Raft, TurbineOne, etc)
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Traits to avoid
Purely quantitative ML researchers with no product engineering experience
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Lightweight agent spinners with no deep infrastructure engineering capabilities
Role details
Salary
$170K - $210K
On-site work policy
On-site in San Francisco, CA. Relocation support is not offered. Occasional travel may be expected.
Full-time position
Location
San Francisco, CA
Tech stack
LLMs, RAG, Prompt Engineering, Knowledge Graphs, Agentic Infrastructure, AI Agents, Python, Multi-Provider Inference, RBAC / Governance
Equity
0.75% equity, consistent with other founding engineer packages. Dollar value is difficult to pin at this stage given early fundraising, but represents meaningful ownership as a founding team member.
Visa sponsorship details
Not open to any visas (e.g. US citizen, Green Card holders)
Additional visa sponsorship details
Must be a US Citizen or have a greencard.
