AI Forward Deployed Engineer

Recruiting From Scratch • San Francisco, NY

1d • $180,000 - $300,000 • Hybrid

About The Position

The AI Forward Deployed Engineer works directly with enterprise customers to understand procurement, ERP, and operational workflows, then designs and implements integrations, backend services, and AI-powered automations. The role owns technical solutions from requirements gathering and design through implementation, deployment, production support, and ongoing improvement. It may involve work across backend, frontend, infrastructure, and AI-powered workflows, with customer visits in New York City approximately 1–2 times per month.

The company is building an AI-powered autonomous supply chain platform that automates procurement workflows for mid-market and upper mid-market businesses. The engineering team is lean and generalist-oriented, and emphasizes customer-first development, end-to-end ownership, first-principles problem-solving, and rapid execution. Engineers collaborate with Product and Engineering to identify reusable patterns from customer deployments and help shape the core product.

Requirements

• At least 5 years of professional software engineering experience, with strong backend engineering fundamentals.
• Demonstrated experience building and maintaining production backend systems.
• Strong proficiency in Python and/or Django, or comparable backend technologies.
• Experience building backend services, APIs, integrations, and workflow automation systems.
• Hands-on experience integrating external APIs, enterprise applications, or third-party platforms, or building complex data pipelines.
• Ability to reason about data flows, system boundaries, failure handling, and integration reliability.
• Familiarity with databases, asynchronous processing, background jobs, and distributed application components.
• Experience deploying and operating production software.
• Strong system design and architectural judgment, with the ability to build reliable, maintainable solutions.
• Experience translating business or customer requirements into technical implementations and owning projects from requirements gathering and design through implementation and deployment.
• Ability to understand complex operational workflows, debug issues spanning internal and external systems, challenge assumptions, and identify effective solutions.
• Comfort working directly with customers and communicating clearly with technical and non-technical stakeholders.
• Ability to work across backend, frontend, and infrastructure when necessary and make independent decisions in ambiguous, fast-moving environments.
• Strong customer orientation, adaptability, and ability to balance customer urgency with maintainability and engineering quality.
• Must already have unrestricted US work authorization; visa sponsorship or transfers are not available.

Nice To Haves

• Experience with ERP systems such as NetSuite, SAP, or Microsoft Business Central.
• Experience with Python and Django in production environments.
• Familiarity with React and TypeScript.
• Experience with Celery, Redis, RabbitMQ, or other asynchronous processing technologies.
• Experience with Docker and cloud infrastructure across AWS, Azure, or GCP.
• Experience building integrations for enterprise customers or B2B SaaS platforms.
• Experience with AI agents, LLM-powered applications, agentic workflows, or workflow automation.
• Background in procurement, supply chain, logistics, enterprise software, or operational automation.
• Experience in forward deployed engineering, solutions engineering, implementation engineering, or another customer-facing software engineering role.

Responsibilities

• Work directly with enterprise customers to understand procurement, ERP, and operational workflows and translate business requirements into technical solutions.
• Identify process inefficiencies and opportunities to automate manual work with software and AI agents.
• Participate in customer discovery, deployment planning, and occasional on-site technical workshops.
• Design, build, and maintain integrations with enterprise systems such as NetSuite, SAP, and Microsoft Business Central.
• Develop APIs, data pipelines, backend services, and customer-specific integration solutions.
• Build procurement workflow automations, including supplier sourcing, quote collection, purchase order creation, and vendor follow-ups.
• Implement asynchronous processing and background workflows using technologies such as Celery, Redis, and RabbitMQ.
• Connect AI agents to enterprise systems and customer workflows, and develop supporting backend infrastructure for production use.
• Own solutions across architecture, implementation, testing, deployment, maintenance, and production support.
• Deploy and operate services using containers and cloud infrastructure; troubleshoot production and integration issues.
• Collaborate with Product and Engineering to identify repeatable deployment patterns and turn suitable customer-specific solutions into reusable platform capabilities.
• Share customer feedback and technical insights to inform the product roadmap and contribute to architectural decisions and engineering practices.

Benefits

• Competitive equity compensation.
• Medical, dental, and vision insurance.
• Unlimited PTO.
• Monthly wellness stipend through ClassPass.
• Hybrid working arrangement in New York City.
• Opportunities to work directly with enterprise customers and influence product development.
• High ownership and autonomy in a rapidly growing AI startup.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed