---
title: 'Nomic- Harness Engineer at Deploy Talent'
canonical: 'https://feeny.ai/job/nomic-harness-engineer-deploy-talent-new-york-myfgkkdt3ew1'
type: 'job'
last_seen: '2026-09-05'
---

# Nomic- Harness Engineer at Deploy Talent

- **Company:** Deploy Talent
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/openreqstaffing/am9icG9zdDppwi-8B3F6DuyAq7fvuuW8

## Job description

## About Nomic

Nomic builds AI agents and developer tools that power the built world. We help enterprise teams in architecture, engineering, and construction extract structured knowledge from decades of drawings, specs, and project files. Our platform combines embedding models, document parsing, and autonomous agents that reason over real-world data and take action in live environments.

## The Role

Our agents reason over massive, messy, real-world document collections — construction drawings, specifications, decades of project history. Getting that right means solving retrieval, context assembly, and evaluation as first-class engineering problems, not afterthoughts bolted onto a prompt. We're hiring a Harness Engineer to work on the systems that make our agents effective: how they find information, how they assemble context, how we know they're working, and how we make them better over time. You should be the kind of engineer who knows what a vector database is and when not to use one. Who thinks about retrieval as an architecture problem, not a library call. Who's paying attention to how agent systems actually get built and deployed in 2026 — and has opinions about it.

## What You'll Work On

- Retrieval systems — search, ranking, chunking strategies, hybrid approaches, knowing which tool fits which problem
- Context engineering — assembling the right information for agents operating over large, heterogeneous document sets
- Evaluation and harnesses — building the infrastructure to continuously measure agent accuracy, regression-test retrieval quality, and close feedback loops
- Agent pipelines — the orchestration layer between retrieval, models, and downstream actions
- Scale — making all of the above work across thousands of customer document collections, not just a demo corpus

## What We're Looking For

- Strong software engineering skills in Python and/or TypeScript
- Real experience with retrieval systems — embeddings, vector search, traditional IR, or some combination
- You've built systems that had to work on messy, real-world data — not just clean benchmarks
- Familiarity with LLMs and agent frameworks in practice, not just in theory
- You think in systems — how components interact, where things break, what doesn't scale
- Intellectual curiosity about the retrieval and agent tooling landscape as it exists right now Even better if you have:
- Experience with evaluation infrastructure — evals, benchmarks, regression testing for AI systems
- Background in search, NLP, or information retrieval
- Exposure to the AEC industry or other document-heavy domains

## About Deploy Talent

## Company Overview
- **One-liner**: Deploy Talent is a boutique executive search and technical recruiting firm that embeds with early-stage AI and deep tech companies to hire the people no one else can reach.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Newport Beach, California, United States (with offices in New York, San Francisco, and London)
- **Founded**: 2023 (originally launched as PLVCK, rebranded to Deploy in April 2025)
- **Founders**: Estephania (Steph) Stopani (CEO, Co-Founder) and Eric McLintock (COO, Co-Founder)

## Core Business
- **Primary industry/industries**: Executive Search Services, Technical Recruiting, Talent Acquisition
- **Target customers**: Pre-seed to Series B+ technology companies, particularly in AI, deep tech, and robotics; also works with venture capital firms who fund searches for their portfolio companies.
- **Mission or purpose statement**: “The recruiters founders actually call.” Deploy Talent positions itself as talent infrastructure for early-stage AI and deep tech, operating on a model where recruiters have personally hired at the level they recruit for.

## Products & Services
- **The Container Model**: A fixed monthly retainer that secures a defined block of recruiting capacity (typically 1–3 active roles at a time). Includes dedicated lead recruiter + sourcing support, weekly syncs with hiring managers, and the ability to flex roles within the engagement. On top of the retainer, a placement fee is paid per successful hire. Engagements are offered in 3, 6, or 12-month durations.
- **Embedded Recruiting**: Recruiters attend client standups, meet hiring managers weekly, see the roadmap, and adjust scope as priorities change without renegotiating fees.
- **Venture Fund Partnerships**: Deploy Talent works with lead investors who fund the Container retainer as part of their post-investment platform support, or with portfolio companies directly.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (privately held, bootstrapped).
- **Key Metric**: Total headcount of 13 employees; LinkedIn followers of 1,230 (monthly growth of +5.6%).
- **Notable Investors/Partners**: The firm is bootstrapped. Client/partner names are not fully disclosed, but the firm has placed talent at companies including Ocean Advisor, Genesis AI (a global physical AI lab), and Rovi Health.
- **Growth Signals**: Rebranded from PLVCK to Deploy in April 2025; operates four offices (Newport Beach HQ, New York, San Francisco, London); actively hiring with 1 open job posting as of the latest data; talent sources include Anthropic, Tenstorrent, Waymo, Applied Intuition, and Aquabyte.

## Competitive Advantages
- **Founder-led, boutique model**: Both co-founders are hands-on recruiters who have personally hired at the level they recruit for. The team is intentionally small (13 people) and senior (38% senior-level staff).
- **The Container model**: A retainer + placement fee structure that aligns incentives — the firm is paid for capacity and outcomes, not just activity. This is distinct from contingency or pure retained search.
- **Embedded approach**: Recruiters attend client standups and see the roadmap, allowing them to find candidates who fit not just a job description but the evolving needs of a startup.
- **Deep tech specialization**: Focused exclusively on early-stage AI, deep tech, and robotics companies, giving them a narrow but deep network in a high-demand market.
- **Alumni network**: Alumni have gone to Nominal, Aurora, and Hotplate, indicating a strong track record of placing talent into high-growth companies.

## Strategic Focus
- **Current priorities**: Scaling the Container model with more early-stage AI and deep tech clients; expanding their footprint in the US and UK (London office); building out their own team by hiring recruiters who can operate with the same embedded, senior-level approach.
- **Direction for growth**: Deploy Talent is actively hiring recruiters (as announced in September 2025) to keep up with demand from “some of the fastest growing, game-changing AI companies.” The firm is also deepening its partnerships with venture capital firms to fund placements for portfolio companies.

## Why Work Here
- **Culture highlights**: The team is described as “small” and “senior,” with every team member having been an early hire somewhere. The firm emphasizes that recruiters are embedded with founders by background, not by job description. The culture appears to be high-autonomy, high-trust, and founder-centric.
- **Remote/hybrid/office policy**: The open position (Commercial Litigation Attorney) is listed as “Hybrid,” suggesting a flexible work model. The firm has physical offices in New York, San Francisco, Newport Beach, and London.
- **Notable perks or engineering culture**: Deploy Talent’s own team is built from people who have worked at companies like Anthropic, Tenstorrent, Waymo, and Applied Intuition. The firm’s recruiting team is heavy on engineering and technical hiring (roles include Full-Stack & Backend Engineering, Technical Recruiting). The firm’s approach is designed to appeal to recruiters who want to work deeply with startup founders rather than operate as transactional headhunters.

## Sources
1. [deploytalent.com](https://deploytalent.com)
2. [deploytalent.com/team](https://deploytalent.com/team)
3. [deploytalent.com/approach](https://deploytalent.com/approach)
4. [deploytalent.com/work](https://deploytalent.com/work)
5. [deploytalent.com/contact](https://deploytalent.com/contact)
6. [linkedin.com/company/deploytalentco](https://linkedin.com/company/deploytalentco)

## Other roles at Deploy Talent

- [Nomic- Senior Platform Engineer](https://feeny.ai/job/nomic-senior-platform-engineer-deploy-talent-new-york-n12wc7pk436q) — New York, NY
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-deploy-talent-new-york-751h09fjbd5j) — New York, NY
- [Brownstein Hyatt](https://feeny.ai/job/brownstein-hyatt-deploy-talent-new-york-r3ctsrhesea5) — New York, NY
- [Founding Account Executive](https://feeny.ai/job/founding-account-executive-deploy-talent-new-york-vedj8y7j66jp) — New York, NY
- [Offit Kurman (Corporate)](https://feeny.ai/job/offit-kurman-corporate-deploy-talent-new-york-dx1g8vz8x3we) — New York, NY
- [Rogers Joseph Odonnell](https://feeny.ai/job/rogers-joseph-odonnell-deploy-talent-san-francisco-4sndq2653vzp) — San Francisco, CA
- [Salisian LLP](https://feeny.ai/job/salisian-llp-deploy-talent-california-1csxffcej84w) — California
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- [The Ryan Firm](https://feeny.ai/job/the-ryan-firm-deploy-talent-orange-county-kn5rbxaqn8ry) — Orange County