Join a rapidly scaling venture-backed technology company building advanced AI solutions that support mission-critical operations across complex government and enterprise environments.

This organization is creating a next-generation platform that helps teams make better decisions across areas such as logistics, supply chain management, modernization initiatives, production planning, operational readiness, and strategic programs. A key focus is the development of sophisticated AI agents capable of orchestrating workflows, interacting with software systems, generating outputs, and automating real-world business processes.

We are seeking a Senior AI Engineer to play a major role in designing and deploying intelligent workflow automation capabilities. This position is ideal for someone who has already built and shipped production-grade AI applications and is excited by the challenge of creating reliable, scalable agent systems.

• You will own the design and delivery of complex, multi-service AI architectures involving agent orchestration, secure workflows, agent harness, guardrails and real-world operational constraints.

What You Will Do

• Own the AI architecture, design, and implementation of full AI/ML systems, including: Multi-service, distributed system architecture, workflow and agent orchestration.
• Proven experience designing and deploying complex agentic systems using LLMs.
• Hands-on design with multi-agent orchestration, routing, and tool orchestration.
• Building products and harness around AI models, harness engineering. Product Engineering.
• Your work goes far beyond prompts or app-level features. You will architect platforms and sustainable AI infrastructure.
• You will build real, production agents-not prototypes relying solely on framework abstractions.
• End-to-End AI Infrastructure with Python, AWS, Typescript. MCP servers to connect to agentic services with response API, Pydantic outputs, tool calling, guardrails, LLM validation framework, etc..

• Strong software engineering and backend development experience.
• Proven success building and deploying Agentic, ML / LLM-powered systems in production environments.
• Degree in Computer Science, Computer Engineering, Data Science or similar.
• Proficient with: Python, Claude, OpenAI, MCP, Agentic Workflows, tool calling, Evaluation frameworks, cache management, knowledge graphs, agentic harness, eval harness, model validation framework, LLM.
• Has built agentic systems or multi-agent setups, LangChain, LangGraph, Strands, ADK, or any orchestration framework.

U.S. Citizenship, Must be a US Citizen

Full-Time - This role is a remote full-time position within the United States.

️This role may require up to 10-20% travel, including periodic travel to our offices for team collaboration, planning activities, and in-person meetings.

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