About the Role An early-stage applied AI company is seeking a Software Engineer (AI Agents) to build and deploy production-ready AI agents that automate complex enterprise workflows. The company is developing infrastructure that connects fragmented enterprise data, builds meaningful business context, and enables AI systems to execute high-value tasks. With significant commercial traction already established, the company is expanding its lean engineering team.
In this role, you will have substantial ownership across product development, system architecture, and customer deployments while solving challenging AI engineering problems with measurable business impact. This is a remote opportunity based in New York, with a focus on production AI systems, backend engineering, and enterprise data integration.
Responsibilities
Build, deploy, and maintain AI agents that automate complex enterprise workflows in production environments.
Own customer problems from initial discovery and requirements gathering through implementation and production deployment.
Design systems that connect, organize, and interpret fragmented enterprise data to provide reliable business context.
Improve AI agent reliability, performance, and failure handling to support dependable real-world use.
Develop reusable agent infrastructure and platform components that support scalable product development.
Work across AI systems, backend services, data integrations, and product functionality to deliver complete solutions.
Collaborate directly with customers and technical leadership to understand requirements and address complex engineering challenges.
Identify opportunities to improve agent behavior, system architecture, and workflow automation based on production experience.
Qualifications
Experience building, deploying, and maintaining AI agents in production environments.
Strong backend development and general software engineering fundamentals.
Experience working with production large language model (LLM) systems and understanding their limitations, failure modes, and reliability challenges.
Ability to work across AI engineering, backend systems, data infrastructure, and product development.
Strong ownership and problem-solving skills, including the ability to navigate ambiguous requirements and changing priorities.
Ability to take responsibility for technical solutions from initial problem discovery through deployment and ongoing improvement.
Preferred Skills
Experience working at a startup or in an early-stage engineering team.
Familiarity with distributed systems and backend infrastructure.
Experience integrating data from multiple enterprise systems.
Understanding of context engineering, ontology systems, and methods for organizing enterprise information for AI applications.
Experience building reusable infrastructure for AI agents and production applications.
Pay range and compensation package
Base salary: $250,000–$300,000 per year.
Equity: Equity compensation in addition to base salary.
Engineering ownership: Meaningful influence over product development, architecture, and customer deployments.
Early-stage opportunity: Join a lean engineering team at a company with established commercial traction.
Real-world impact: Solve complex AI problems tied directly to enterprise workflows and business outcomes.
About the Company
People In AI connects exceptional AI talent with ambitious companies building the future of artificial intelligence.