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Software Engineer, Agent Delivery; Founding Team

Job in New York, New York County, New York, 10261, USA
Listing for: Recruiting From Scratch
Full Time position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 160000 - 240000 USD Yearly USD 160000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer, Agent Delivery (Founding Team)
Location: New York

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.

Title of Role

Software Engineer – Agent Delivery (Founding Team)

Location

San Francisco, CA or New York, NY

Company Stage of Funding

Series B (Venture-backed)

Office Type

Onsite – 5 days per week

Salary

$160,000 – $240,000 base salary + competitive equity

Company Description

Our client is a fast-growing, venture-backed AI company building next-generation automation products for the logistics and supply chain industry. Backed by top-tier investors and trusted by large enterprise customers, the company is developing AI-powered agents that automate complex, high-volume operational workflows inside real-world systems.

This is an opportunity to join a high-caliber founding team working at the intersection of AI, software engineering, and real customer impact—solving meaningful problems in a massive, global industry.

What You Will Do
  • Act as a hands-on software engineer responsible for delivering production-grade AI systems for enterprise customers
  • Own customer deployments end to end, from initial scoping and system design through live production rollout
  • Build and maintain integrations with external systems, APIs, and internal tools—often working with limited documentation
  • Partner closely with internal operations, product, and engineering teams to ensure reliable, scalable deployments
  • Debug and improve live production systems by diagnosing issues across integrations, data flows, and AI behavior
  • Use insights from real customer usage to influence product improvements, platform capabilities, and tooling
  • Remain actively involved post-launch to enhance performance, reliability, and functionality over time

This is a highly ownership-driven role with exposure to real-world constraints, customer environments, and production systems at scale.

Ideal Candidate Background
  • 1–4 years of experience in software engineering roles with direct exposure to customers or external stakeholders
  • Experience building, deploying, and operating end-to-end production systems
  • Strong fundamentals in backend engineering, including APIs, authentication, data modeling, and system integrations
  • Comfortable working in ambiguous environments and taking ownership of outcomes
  • Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences
  • Experience in high-growth SaaS, AI-driven products, or early-stage startups is a strong plus
Preferred
  • Experience working with modern JavaScript/Type Script backend stacks
  • Familiarity with event-driven systems, message queues, or workflow automation
  • Exposure to cloud environments (GCP, AWS, or similar) and production monitoring tools
  • Interest in applied AI systems and working closely with real customer data and workflows
  • Willingness to travel occasionally (up to ~25%) for customer engagements
Compensation, Benefits, and Other Details
  • Base salary range: $160,000 – $240,000
    , depending on experience
  • Competitive equity package
  • Full-time, permanent role
  • Work onsite in either San Francisco or New York
  • Opportunity to join early and make a foundational impact on product, customers, and company direction
  • Collaborative environment with experienced engineers, operators, and leaders from top technology companies
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