{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"

Our client is a small, founder-led B2B consulting and advisory company with paying customers and a working product concept. The founders have built the initial product themselves, and now we need our first dedicated engineer to take it to a finished, production-grade system built to scale. This is a ground-floor role: you'll work directly with the founders, make the core architecture calls, and shape how the company builds software for years to come.

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The opportunity

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You'll be the sole engineer for a stretch, owning the product end to end. You'll decide whether to extend what exists or rebuild it, and you'll defend that call. Our software principle is simple: the system drafts, people decide. That means AI agents doing real work in production, sitting on top of a reliable, deterministic core.

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What you'll own

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The agentic layer: production AI agents that use tools, with the LLM treated as a component that can fail rather than as the product.
A deterministic, well-tested core that agents call as a tool, producing results that are reproducible and traceable to their inputs.
An evaluation harness that proves AI-driven features work before they ship.
Data modeling and schema design for multi-customer data that grows over time.
Translating customer conversations into working data models, often without a formal spec.

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What we're looking for

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Roughly 7 to 12 years of experience as a product or full-stack engineer.
Has shipped a data-heavy B2B application end to end.
Has built AI agents that run in production, not chatbot or chat-wrapper builds.
Has built evaluation or testing systems for AI-driven features.
Cares about getting the numbers right and being able to explain where they came from.
Comfortable working alone, moving fast, and making decisions without a large team around you.
Sees an evolving product as something to help shape, not a spec to implement.

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Language and stack are open. The current build is Python on Postgres.

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Nice to have

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Founding engineer or early-stage startup experience.
Experience building data pipelines from messy business systems.
Familiarity with agent tooling and protocols such as MCP.

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Compensation

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Competitive base salary with meaningful founding equity. We're especially interested in candidates who want to trade some base salary for a larger ownership stake and a real share in what they build.

","datePosted":"2026-10-06","hiringOrganization":{"@type":"Organization","name":"recruitAbility"},"validThrough":"2026-11-05","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Philadelphia, PA","streetAddress":"Philadelphia, PA, Philadelphia, Pennsylvania, United States","addressRegion":"Pennsylvania","addressCountry":"United States"}},"employmentType":"FULL_TIME","identifier":{"@type":"PropertyValue","name":"recruitAbility","value":"17913041298890109760POD"},"directApply":true}