Senior Applied AI Engineer, Federal

The role

You will work with federal customers to build AI workflows and integrations on Lemma. You will own the engineering from deployment through ongoing operation.

What you will do

• Work with users and customer engineers to define problems and map system dependencies.
• Write production code that connects APIs, data sources and customer applications to Lemma.
• Build and test workflows that use those connections.
• Evaluate AI behavior against realistic examples.
• Define checks for output quality and reliability.
• Deploy and operate the solution with relevant engineering teams.
• Diagnose failures across application code, data, authentication and network boundaries.
• Document technical decisions and operating procedures.
• Turn recurring customer needs into reusable integrations and product improvements.
• Help Growth assess technical feasibility and scope customer evaluations.

Required qualifications

• Five or more years of software engineering experience, or comparable evidence of independently delivering and operating production systems.
• Strong programming skills in Python, TypeScript/JavaScript, Java or a similar language.
• Experience building APIs or integrations, working with databases and data pipelines, and using automated tests and deployment practices.
• Hands-on experience with AI or ML applications, including evaluating their outputs and understanding where they fail.
• Experience working directly with users or customer engineers to resolve incomplete requirements and make practical tradeoffs.
• Clear communication about progress and technical risks.
• U.S. citizen or national or U.S. lawful, permanent resident.

Nice to have

• An active U.S. Secret security clearance or higher
• Delivering software for federal customers or other organizations with demanding security and operational requirements.
• Building AI workflows that involve external tools, retrieval, evaluation or human review.
• Working with enterprise identity, cloud infrastructure, containers or complex system integrations.
• Improving a shared product based on what you learned from a customer deployment.

About the company

Thread AI is focused on building an AI orchestration engine. Headquartered in New York, the team aims to make infrastructure simple for enterprises and public sector agencies.