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Founding Engineer


Job Location:

Brooklyn, NY - USA

Monthly Salary: $ 180000 - 250000
Posted: 21 August 2026 (Yesterday)
Application Deadline: 18 November 2026
Vacancies: 1 Vacancy

Job Summary

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
Founding Engineer
Location - Brooklyn NY (Hybrid) - Hybrid role requiring four days per week in-office in Brooklyn NY.
Compensation - $180000 $250000 Base 0.4% 0.8% Equity
Visa - Open to Visa Transfers (OPT H1B Transfers)
Company Stage - Early Stage Seed
Industry -Artificial Intelligence Logistics Freight Technology Supply Chain SaaS Agentic AI
About the Company

Our client is building AI-native software for freight brokers helping independent freight agencies reduce operational workload and scale their businesses more efficiently.

The company is targeting the large and underserved freight brokerage market where independent operators manage significant books of business using fragmented and outdated software systems.

The company is backed by experienced operators who have previously built and scaled successful businesses and is operating as a small highly technical early-stage team.

As a Founding Engineer youll have significant ownership over the companys technical foundation and AI stack working directly with leadership and customers to build products that automate critical freight brokerage workflows.

This is an opportunity to join a true founding engineering team where youll work across AI agents full-stack product development infrastructure fraud prevention and customer-facing workflows.

What Youll Do
  • Own the AI stack powering freight brokerage workflows
  • Build AI agents and agentic workflows for production use
  • Develop carrier sales automation systems
  • Build AI-powered quoting and workflow automation systems
  • Build email triage routing and automation workflows using LLMs
  • Design and implement production AI integrations using modern LLM technologies
  • Set the technical foundation for the engineering organization from the ground up
  • Make architecture decisions across frontend backend infrastructure and AI systems
  • Establish deployment infrastructure tooling CI/CD and engineering practices
  • Build fraud prevention systems to detect and mitigate load theft across multiple fraud vectors
  • Develop rules-based and AI-assisted fraud detection workflows
  • Build and ship full-stack products end-to-end
  • Work closely with freight brokers to understand their workflows and operational challenges
  • Join customer calls and observe users directly to identify product opportunities
  • Translate customer problems into technical solutions and shipped software
  • Partner closely with product leadership to determine what to build buy or integrate
  • Own projects from initial concept through production deployment and operation
  • Build reliable APIs backend services frontend experiences and AI workflows
  • Move quickly from prototypes to production with tight customer feedback loops
  • Operate with high ownership and autonomy in a small startup environment
  • Help establish engineering culture technical standards and development processes
  • Contribute to product direction and broader business decisions
  • Work across the stack as priorities evolve
  • Continuously improve the reliability quality and performance of production systems
Ideal Candidate Background
Experience Requirements
  • 5 years of professional experience in full-stack software engineering
  • Strong experience working at early-stage startups
  • Experience as a founding engineer or early engineering team member preferred
  • Experience building and shipping products end-to-end
  • Experience building AI/LLM-powered products in production
  • Experience developing agentic workflows or AI-powered automation
  • Experience owning technical architecture decisions on small teams
  • Experience operating production software with real users
  • Experience working in highly ambiguous startup environments
  • Experience collaborating closely with product and business leadership
  • Strong ownership mentality with demonstrated execution ability
  • Comfortable taking products from concept through deployment and iteration
  • Experience working directly with customers or end users preferred
  • Logistics supply chain or freight industry experience is a strong plus
  • Comfortable working across frontend backend infrastructure and AI systems
Technical Requirements
  • Strong full-stack engineering experience
  • Strong backend and frontend development skills
  • Experience building production applications using LLMs
  • Experience with AI agents and agentic workflows
  • Experience integrating LLM APIs into customer-facing products
  • Strong understanding of AI application architecture
  • Experience with APIs and backend services
  • Experience with deployment and cloud infrastructure
  • Experience setting up CI/CD pipelines and engineering tooling
  • Experience with DevOps and production infrastructure
  • Experience building fraud detection or rules-based prevention systems preferred
  • Strong software architecture and systems thinking
  • Strong debugging and production troubleshooting capabilities
  • Ability to work with a technology stack that is not rigidly prescribed
  • Ability to learn and adopt new technologies quickly
  • Strong understanding of production reliability and scalability
Education
  • Bachelors degree in Computer Science Engineering or related technical field preferred
  • Equivalent practical engineering experience accepted
  • Strong software engineering and systems fundamentals
Soft Skills
  • Exceptional technical ownership
  • Strong analytical and problem-solving ability
  • Deep curiosity around AI and emerging technologies
  • Strong product mindset
  • Comfortable working with significant ambiguity
  • Strong communication skills
  • Comfortable collaborating directly with founders and product leadership
  • Comfortable working directly with customers and end users
  • High execution velocity
  • Strong bias toward shipping
  • Strong ability to reason from first principles
  • Comfortable making technical decisions independently
  • Low-ego collaborative mentality
  • Strong builder mentality
  • Comfortable wearing multiple hats on a small team
  • Strong business and customer orientation
  • Comfortable operating in a high-intensity startup environment
  • Strong willingness to work in-person four days per week in Brooklyn
Compensation & Benefits
  • Base Salary: $180000 $250000
  • Equity: 0.4% 0.8%
  • Opportunity to join a true founding engineering team
  • Significant ownership over the companys AI stack
  • Opportunity to shape architecture and engineering culture from the ground up
  • Direct collaboration with founders and product leadership
  • Opportunity to build production AI agents and automation systems
  • Exposure to logistics freight supply chain and AI technology
  • Opportunity to work directly with customers and end users
  • High-impact early-stage environment with rapid iteration
  • Opportunity to influence both product and technical strategy
  • Visa transfer support and potential relocation support
Why Join

This is an opportunity to join an early-stage company tackling a massive and underserved logistics market through AI-native software.

Youll operate as a true founding engineer owning major parts of the technical stack while building AI agents automation workflows fraud prevention systems and customer-facing products from the ground up.

Youll work directly with founders product leadership and freight brokers creating extremely tight feedback loops between customer problems and shipped software.

If you enjoy building products from scratch working across the full stack applying LLMs and agentic AI to real-world workflows and operating with exceptional ownership in an early-stage startup this role offers significant technical and product impact.


Required Experience:

IC


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