Lead Software Engineer, AI

#
** Our Privacy Statement & Cookie Policy
** Lead Software Engineer, AI page is loaded## Lead Software Engineer, AIremote type:
Hybrid locations:
United States of America, Eagan, Minnesota time type:
Full time posted on:
Posted Yesterday job requisition :
JREQ
197733
** Lead Software Engineer, AI
** We are seeking a talented, self-driven and highly motivated Lead Software Engineer, AI to join the Public Records Publishing and Derived Authorities team. In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a rapidly growing line of publishing processes, working at the forefront of our mission to become the world's #1 content-driven AI tech company.

You will work closely with Product Management, Technology and our Labs teams to enable our customers to build successful AI-driven features and products to take their business to the next level. This is an exceptional opportunity to grow your Product Engineering career while working with cutting-edge LLM technologies and leading a dynamic team of engineers.
** About the Role
** In this opportunity as L
** ead Software Engineer, AI**, you will:
* Drive AI Innovation & Technical Vision:
Lead and drive the technical vision and execution of initiatives to introduce AI-driven features in our products, staying abreast of the latest advancements in AI/ML, deep learning, and LLM technologies
* Lead AI/ML Model Development:
Lead the development and deployment of AI models, including designing, developing, and optimizing scalable data pipelines for training, fine-tuning, and evaluating AI/ML models with focus on efficiency, scalability, and maintainability
* Provide Technical Leadership:
Take ownership of the technical strategy, ensuring the team uses the best tools, technologies, and methodologies while providing hands-on technical guidance, mentorship, and code reviews to foster a culture of excellence
* Architect Advanced AI Systems:
Design and implement sophisticated AI/ML systems including LLM architectures (Transformers, foundation models) for natural language understanding, generation, summarization, and question answering, along with Information Retrieval systems such as RAG
* Collaborate on Product Development:
Participate in project planning sessions to analyze requirements and collaborate with capability/product owners, translating technical requirements into application code and modules while ensuring consistency with cloud architectural principles
* Drive Engineering Excellence:
Approach development with a Dev Ops and continuous integration mindset, writing clean, well-tested, and maintainable code while developing RESTful APIs and microservices to expose AI/ML capabilities
* Ensure Production Quality:
Implement robust monitoring, logging, and alerting for AI/ML models in production, optimize model inference for speed and efficiency, and ensure responsible AI practices including bias detection, fairness, privacy, and explain ability.
** About You
** You're a fit for the role of
** Lead Software Engineer, AI
** if you have the following required qualifications:
* 8+ years of software engineering experience with 5+ years focused on AI/ML development, including hands-on experience with LLM architectures, transformers, and foundation models
* Technical Expertise:
Strong proficiency in Python and AI/ML frameworks, with deep understanding of natural language processing, prompt engineering techniques, and Information Retrieval systems (RAG)
* Engineering Excellence:
Proven track record of designing and implementing scalable data pipelines, RESTful APIs, and microservices with experience in Dev Ops, continuous integration, and cloud architectural principles
* Leadership & Mentorship:
Demonstrated ability to lead technical teams, provide mentorship, conduct code reviews, and define best practices for software development and MLOps
* Product Development

Experience:

Experience working in agile environments with cross-functional teams including product managers and applied scientists, translating business requirements into technical specifications
* Production AI Systems:
Hands-on experience deploying, monitoring, and maintaining AI/ML models…