About the Role
AI Engineer | Production AI Agents & Applied AI
Location: Remote US | NYC-based employees can work hybrid
Compensation: $200,000–$300,000 base + equity
The OpportunityWe're partnering with a fast-growing, well-funded AI startup building intelligent systems that automate complex business workflows.
The company is focused on taking AI beyond prototypes and into real enterprise environments, where fragmented data, disconnected software systems, and complicated workflows make deploying AI especially challenging.
They're building a platform that connects enterprise systems, makes sense of messy data, and deploys AI agents capable of executing meaningful business processes.
The company has already established significant commercial traction with major enterprise customers and is now expanding its small, highly technical engineering team.
They're looking for strong, hands-on AI Engineers who want to build production systems, take ownership of complex technical challenges, and work directly with customers to solve real problems.
This is a high-impact opportunity for engineers who enjoy the intersection of AI, backend engineering, data infrastructure, and product development.
What You'll Work On
• Production AI Agents: Design, build, and deploy LLM-powered agents that automate complex business processes and execute multi-step workflows.
• Agent Architecture & Orchestration: Develop systems involving tool use, retrieval, context management, agent coordination, and reliable execution.
• Backend Engineering: Build scalable APIs, services, and infrastructure to support production AI applications.
• Enterprise Data & Integrations: Work with complex datasets, data pipelines, and external systems to make information accessible and useful to AI agents.
• Evaluation & Reliability: Build systems to evaluate agent performance, identify failure modes, improve accuracy, and ensure reliability in production.
• End-to-End Product Ownership: Take ambiguous business problems, define technical solutions, and ship working products from initial concept through deployment.
• Platform Development: Contribute to the core AI platform, helping build reusable capabilities that can support increasingly sophisticated agent workflows.
• Customer Collaboration: Work directly with enterprise customers to understand their challenges and turn business requirements into technical solutions.
What We're Looking ForWe're looking for engineers who have personally built and shipped production AI agents and are comfortable owning substantial technical scope.
Ideal experience includes:
• Hands-on experience building and deploying production LLM agents or agentic applications used by real customers or internal teams.
• Strong software engineering fundamentals, particularly in Python and backend systems.
• Experience with agent orchestration, tool calling, RAG, retrieval, and LLM application development.
• Ability to design and implement backend APIs, data pipelines, and integrations with external systems.
• Understanding of production AI challenges, including evaluation, monitoring, latency, reliability, and failure handling.
• Experience owning technical projects end to end, from architecture and implementation through deployment.
• Strong problem-solving skills and the ability to work across unfamiliar technologies and ambiguous requirements.
• Experience in an early-stage startup or another high-ownership engineering environment is a plus.
Production agent experience is essential. We're particularly interested in candidates who can explain what they personally built, how their systems worked, what went wrong in production, and how they improved them.
You'll work closely with a highly technical founding team and experienced engineers, with the freedom to make important architectural and product decisions.Interested in Learning More?
If you've built production AI agents, enjoy solving complex technical problems, and want significant ownership at a fast-growing AI company, we'd love to hear from you.Apply or reach out to People in AI for a confidential conversation about the opportunity.
