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Recruiting From Scratch

Forward Deployed Engineer

Recruiting From Scratch, San Francisco, California, United States, 94199

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Who is Recruiting from Scratch Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top‑tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long‑term success for both clients and candidates.

Location:

New York, NY (Hybrid) or London, UK (Hybrid) Company Stage of Funding:

High‑growth, venture‑backed technology company Office Type:

Hybrid (2–3 days onsite) Salary:

$140K – $200K + Competitive Equity

Company Description We are partnering with a rapidly scaling AI software company that is redefining how enterprises build and deploy mission‑critical AI applications. The organization has grown from a small founding team to more than 80 employees in under two years and continues to expand aggressively.

Their teams work directly with Fortune 500 and global industry leaders to build high‑impact AI products—often delivering solutions in weeks rather than years. Engineers operate on small, high‑ownership teams that function like startup units within the company, working closely with customers to architect, build, and deploy production‑grade software that drives real operational transformation.

This is an exciting opportunity to join one of the fastest‑growing players in enterprise AI and build software that directly shapes how major organizations operate.

What You Will Do

Partner directly with customer stakeholders to understand their highest‑value operational problems

Architect, build, and deploy end‑to‑end applications that integrate deeply with enterprise data

Develop workflows, data pipelines, and user‑facing applications that meaningfully influence real‑world business decisions

Own projects from discovery through deployment—operating with high autonomy and speed

Iterate rapidly, building net‑new software that delivers measurable impact

Collaborate with cross‑functional technical and non‑technical partners, both internally and with customer teams

Travel as needed for onsite implementation work (project‑dependent, typically 10–33%)

Work in a hybrid capacity from the company’s New York or London offices to stay deeply integrated with project teams

Ideal Candidate Background

Strong analytical and problem‑solving ability; comfortable breaking down ambiguous problems into clear solutions

Proficiency in

Python

and/or

TypeScript

Experience building production‑grade applications, data workflows, or analytical systems

Ability to own outcomes end‑to‑end—comfortable working autonomously while collaborating across technical levels

Proven track record of delivering impactful software or data‑driven products

Ability to work directly with customers and communicate complex ideas clearly

Excited by fast‑paced, high‑ownership environments where priorities evolve quickly

Willingness to travel for customer engagements as needed

Based in (or willing to relocate to) New York or London for a hybrid schedule

Preferred (Not Required)

Degree in Computer Science, Engineering, Math, Statistics, or related field

Experience with Palantir Foundry or AIP

Experience deploying ML/LLM‑based applications

Experience building production frontends (e.g., React)

Familiarity with distributed compute systems (e.g., Spark)

Compensation, Benefits & Additional Perks

Base Salary:

$140K – $200K

Equity:

Competitive equity package

Comprehensive benefits package , including health, retirement, and wellness programs

Hybrid work environment (2–3 days onsite weekly)

High‑impact work with direct customer interaction

Opportunity to work on small, elite teams with alumni from top global tech companies

Fast‑growing environment with significant career growth potential

Work on applications that have meaningful, real‑world impact across industries such as healthcare, energy, manufacturing, aviation, financial services, and more

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