AI Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Software Engineer based in United States.

This is a full-stack engineering role focused on building and scaling production-grade agentic AI systems for complex physical operations.

• Build and ship full-stack product features spanning user interfaces, APIs, backend services, and agent logic.
• Develop and extend agent frameworks supporting tool and function calling, multi-step reasoning, context management, and reliable task execution.
• Create structured and secure access to operational data through schema grounding, validation, safe execution, and integrations with external systems.
• Build evaluation and observability capabilities to measure AI quality, latency, safety, cost, reliability, and product outcomes such as task completion.
• Improve the reliability, robustness, performance, and latency of distributed, event-driven backend systems.
• Re-architect and modernize early implementations as the platform scales and production requirements evolve.
• Design and maintain appropriate AI guardrails, including least-privilege tools, safe execution boundaries, fallbacks, and emergency kill switches.
• Contribute across the technology stack as required, including React and TypeScript interfaces, Electron desktop applications, streaming experiences, and Python services running on AWS.
• Build interfaces that remain responsive and useful while AI-generated output is still being produced.
• Integrate and orchestrate large language models from multiple providers to deliver reliable, user-facing AI functionality.
• Use operator and customer feedback to continuously improve AI experiences and handle uncertain or non-deterministic model output appropriately.
• Apply agentic coding tools such as Claude Code, Codex, Cursor, or comparable technologies to accelerate development and engineering productivity.

• 5+ years of experience building production full-stack or backend software, or equivalent demonstrated technical depth.
• Recent hands-on experience integrating large language models into production, user-facing applications.
• Proven experience shipping an agentic or LLM-powered product feature and owning it across the full technology stack.
• Experience building evaluation harnesses and quality measurement systems for non-deterministic AI applications.
• Demonstrated track record of improving the reliability, performance, scalability, and maintainability of production systems.
• Strong hands-on proficiency in both Python and TypeScript/React, with experience using both regularly in production environments.
• Experience building agent orchestration systems or deep familiarity with an agent framework and its technical trade-offs.
• Strong understanding of REST API and service design, along with asynchronous and event-driven architectures such as queues, streaming, and WebSockets.
• Production experience deploying, operating, and troubleshooting services on AWS.
• Strong product judgment for user-facing AI, including the ability to incorporate operator feedback and design effectively around uncertain model outputs.
• Strong understanding of production engineering practices, distributed systems, APIs, cloud infrastructure, and modern software development.
• Fluent with modern agentic coding tools such as Claude Code, Codex, Cursor, or similar platforms.
• Experience with agent tool and system integrations such as MCP is preferred.
• Familiarity with sandboxing and safely executing untrusted code is advantageous.
• Experience with LLMOps or AgentOps tooling and CI/CD practices for AI systems is a plus.
• Knowledge of streaming and WebSocket architectures for real-time or long-running tasks is beneficial.
• Experience with data-ingestion pipelines and maintaining consistency across multiple data stores is preferred.
• Logistics, supply chain, manufacturing, or physical-operations experience is a plus.

• Estimated annual compensation of $160,000–$250,000, depending on experience and qualifications.
• Eligibility for a performance-based cash bonus.
• Equity awards as part of the overall compensation package.
• Opportunity to build and operate production-grade agentic AI technology used in demanding enterprise environments.
• Exposure to frontier AI models, distributed systems, cloud infrastructure, real-time interfaces, and physical AI applications.
• Opportunity to work across the full technology stack rather than being limited to frontend, backend, or prompt engineering.
• High-impact engineering environment focused on solving real operational problems rather than building experimental or demo-only AI systems.
• Collaboration with an ambitious, technically strong team, with a significant presence in New York and Chicago.
• Remote work opportunities are available.