Lead Software Engineer AI Materia AI
Job in
Eagan, Dakota County, Minnesota, USA
Listed on 2026-06-26
Listing for:
Thomson Reuters
Part Time
position Listed on 2026-06-26
Job specializations:
-
Software Development
Backend Developer, AI Engineer (Applied/Software), Python, Cloud Engineer - Software
Job Description & How to Apply Below
Lead Software Engineer – AI (Materia AI)
Are you excited about building AI‑driven software that redefines how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we combine the agility and innovation of a startup with the stability and resources of a global leader. As a Lead Software Engineer, you will play a pivotal role in developing AI‑powered systems that enhance accounting workflows through automation, intelligence, and seamless orchestration.
- Focus on engineers who can own end‑to‑end AI systems—from backend services and APIs to LLM‑driven workflows in production.
- Must have strong hands‑on Python backend experience (FastAPI/Flask, APIs, distributed systems).
- Exposure to Type Script or modern frontend frameworks is helpful, but not required.
- Proven experience in system design and architecture, building scalable, production‑grade systems.
- Strong emphasis on Python, backend engineering, and real‑world AI applications.
- This is a hybrid role, and the interview process may include onsite interactions.
In this role as a Lead Software Engineer, you will:
- Be part of a fast‑moving, forward‑thinking group that is creating AI‑driven software for accounting professionals. You’ll work with top AI and software development experts, leveraging cutting‑edge technology to build intelligent and scalable systems.
- Build AI‑Driven Systems:
Design and implement backend services that power generative AI agents and orchestration systems. This role requires both creativity and rigor to ensure our AI‑driven solutions are performant, reliable, and adaptable to real‑world use cases. - Collaborate Across Functions:
Work closely with AI/ML engineers, frontend developers, product managers, and designers to build robust services that support generative AI experiences. Help to build out our core AI interfaces such as Conversations, Work spaces, Grid, and Knowledge Base.
- Design and build the backend for AI‑native products focused on accounting research and workflows such as tax filing, tax advisory, and audit.
- Develop and maintain backend services using Python, FastAPI, and PostgreSQL.
- Implement AI orchestration systems integrating LLMs from OpenAI, Anthropic, and other providers.
- Design APIs and backend logic for real‑time AI interactions.
- Ensure backend systems are secure, scalable, and optimized for AI‑driven applications.
- Monitor and enhance system performance across millions of documents and AI‑driven interactions.
- Lead teams of engineers, AI researchers, and product teams to translate AI capabilities into real‑world applications, owning large projects or work streams.
- Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies.
- Assist in hiring and mentorship across the organization.
- Bachelor’s Degree in Computer Science, Computer Engineering, Related Field, or Equivalent Experience.
- 6–8 years of experience in backend development building scalable web services and APIs.
- Strong Python skills, with experience in FastAPI, PostgreSQL, and AWS.
- Experience in distributed systems, API and data model design.
- Strong debugging skills and a track record of building production‑grade software.
- Strong communication and cross‑functional collaboration abilities.
- Passion for AI‑driven software and new engineering paradigms.
- A creative problem solver who enjoys exploring new technologies.
- Dedicated to building high‑quality, reliable AI‑first systems.
- Comfortable working in a fast‑paced, evolving environment.
- Experience with AI‑driven systems, agent‑based architectures, or AI APIs from providers like OpenAI and Anthropic.
- Knowledge of vector databases, embeddings, or search‑based AI.
- Strong opinions on backend testing strategies and automation.
- Hybrid Work Model: We've adopted a flexible hybrid working environment (2‑3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibi…
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