Build and deploy AI-powered software for customer workflows, including integrations, backend services, agent workflows, and user interfaces. Work directly with customers to understand requirements, prototype solutions, productionize them with monitoring and human review, diagnose rollout issues, and convert deployment insights into reusable product capabilities. The role requires strong cross-stack engineering, customer communication, product judgment, and hands-on experience with LLMs or AI agents.
New York / London preferred · US / Europe remote considered · Full-time
About Elm AI
Elm AI builds AI agents that help companies work with their suppliers. Major consumer brands use our software across thousands of factories to review audits, manage corrective actions and keep supplier work moving. We're expanding what AI can do for sourcing, procurement, compliance and supply-chain teams.
The role
We're hiring a Forward-Deployed Product Engineer to turn customer problems into working software. You'll work directly with the people using Elm, understand how their work gets done, and build the integrations, agent workflows and product features that make AI useful in their day-to-day operations.
You'll own the technical path from discovery and prototyping to production and iteration. That could mean connecting a customer's data sources, building an agent to review supplier documents, or creating an interface that helps a team act on the results. You'll partner with our deployment strategists and core engineering team, bringing what you learn from each deployment back into the product.
What you'll do
• Work with customers to understand their workflows, data and constraints, and decide what to build first.
• Build and ship across APIs, integrations, backend services, agent workflows and customer-facing interfaces.
• Take prototypes into production with appropriate evaluations, monitoring, error handling and human review.
• Connect customer systems and documents to Elm, working through inconsistent data and real operational requirements.
• Work alongside customers during rollout, diagnose issues and improve the software based on how people actually use it.
• Turn useful patterns from deployments into reusable product capabilities with the core engineering team.
• Define success with customers and deployment strategists, then use feedback and results to guide the next iteration.
What we're looking for
• Strong software engineering skills and evidence of shipping software that people rely on.
• Ability to work across a stack, integrate external systems and debug problems across application and data boundaries.
• Good product judgment: you can turn an unclear request into a practical solution and make sensible decisions about scope.
• Comfort talking directly with customers, asking detailed questions and explaining technical tradeoffs clearly.
• Experience building with LLMs or AI agents, or substantial hands-on work that demonstrates your ability to learn quickly and evaluate their behavior.
• Ownership through deployment and follow-through, with care for reliability, data privacy and the experience of the people using your work.
• Curiosity about new tools and thoughtful use of AI in your own development process.
Helpful, but not required: previous forward-deployed or customer-facing engineering work; experience with enterprise integrations, document processing or AI evaluations; early-stage startup experience; familiarity with supply chains, procurement, sourcing or compliance.
Working style
We'd ideally like you to be based in New York or London. We're also open to exceptional candidates working remotely from elsewhere in the United States or Europe, depending on time-zone overlap and the needs of the role. Travel may be needed for customer work and will be expected for team time together. Compensation reflects the role, your experience and your regional market.
Why join
• Own software from the first customer conversation through to daily use, and see the effect of your work firsthand.
• Work directly with founders, engineers and customer teams on practical applications of AI.
• Help decide which deployment insights become part of Elm's core product.
• Have access to learning, AI tooling and experimentation budgets, with room to explore better ways to build.
• Join a team that cares about useful software, thoughtful execution and a sustainable pace.
We'd love to hear from you.
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