Thread AI Senior Applied AI Engineer at Thread AI working directly with federal customers to build AI workflows and integrations on Lemma. Own engineering through deployment and ongoing operation.
Responsibilities
This is a senior individual contributor role with direct customer responsibility.
Work with users and customer engineers to define the problem, map system dependencies and agree on a first deployment.
Write production code that connects APIs, data sources and customer applications to Lemma. Build and test the workflows that use those connections.
Evaluate AI behavior against realistic examples. Define checks for output quality and reliability, and decide where a person needs to review or approve a result.
Deploy and operate the solution with the relevant engineering teams. Diagnose failures across application code, data, authentication and network boundaries.
Document technical decisions and operating procedures so customers and teammates can maintain what you ship.
Turn recurring customer needs into reusable integrations and product improvements. Work with core engineering when a solution belongs in the platform.
Help Growth assess technical feasibility and scope customer evaluations before delivery commitments are made.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, or age, we encourage you to apply!
Don’t meet every single requirement? If you’re excited about this role and the company but your past experience doesn’t align with every qualification, we still encourage you to apply anyway - we’d love to get to know you and see if there’s a place for you at Thread!
Qualification
Strong programming skills in PythonWorking with enterprise identity
Required
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. You can explain your design choices, review code and debug unfamiliar systems.
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, and the judgment to seek engineering review when needed.
Relevant backgrounds include product engineering, previous FDE work, and implementation engineering with substantial production coding. We welcome formal technical education and equivalent practical experience.
Preferred
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.
