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Lead Research Engineer - NCSA
Job in
Urbana, Champaign County, Illinois, 61803, USA
Listed on 2026-02-28
Listing for:
University of Illinois Urbana-Champaign
Full Time
position Listed on 2026-02-28
Job specializations:
-
Software Development
AI Engineer, Data Science Manager, Software Engineer
Job Description & How to Apply Below
Overview
NCSA
Advance next-generation AI systems for agriculture, with a focus on large language model (LLM)–based applications. This position will play a key role in designing and evaluating public-facing benchmarking services, curating high-quality benchmark datasets, and building scalable software infrastructure, while collaborating across research and applied teams with diverse partners.
Responsibilities- AI System Design & Development:
Design, develop, and deploy LLM-based applications and services for agricultural and natural resource use cases. - AI System Design & Development:
Implement end-to-end AI solutions, including model integration, APIs, and user-facing interfaces. - AI System Design & Development:
Apply modern software engineering practices to ensure scalability, reliability, and maintainability of AI systems. - AI System Design & Development:
Collaborate with researchers to translate experimental concepts into production-ready systems. - Full Stack Software Engineering:
Develop and maintain full stack software systems, including frontend interfaces and backend services. - Full Stack Software Engineering:
Build scalable, cloud-ready architectures to support public-facing platforms and internal tools. - Full Stack Software Engineering:
Integrate databases, data pipelines, and external services to support AI workflows. - Full Stack Software Engineering:
Ensure performance, security, and usability standards across applications. - Evaluation, Benchmarking & Data Curation:
Design and implement evaluation methodologies for interactive question-answering and decision-support systems. - Evaluation, Benchmarking & Data Curation:
Contribute to the creation, curation, and maintenance of benchmark datasets for LLM-based systems. - Evaluation, Benchmarking & Data Curation:
Develop automated benchmarking and evaluation pipelines to assess model performance and reliability. - Evaluation, Benchmarking & Data Curation:
Support public benchmarking services and contribute to transparent, reproducible evaluation practices. - Project Coordination & Technical Leadership:
Participate in the planning and execution of funded software and research projects. - Project Coordination & Technical Leadership:
Contribute to technical documentation, reporting, and knowledge sharing. - Project Coordination & Technical Leadership:
Work across research and applied environments to align software development with scientific goals. - Project Coordination & Technical Leadership:
Collaborate with faculty, students, industry partners, and external collaborators on interdisciplinary projects. - Project Coordination & Technical Leadership:
Contribute technical expertise to grant-funded research and development initiatives. - Project Coordination & Technical Leadership:
Technical management and oversight of funded projects around AI benchmarking for agriculture (note: day-to-day management of the Gates project).
- Master’s degree in Computer Science, Statistics or a closely related field
- A minimum of three (3) years of professional experience in full-stack software development, demonstrating proficiency with modern programming workflows and tools
- Demonstrated experience leading a multi-person research software development project, including technical oversight and coordination
- Strong experience in full stack software development, including both frontend and backend systems
- Strong experience designing and deploying LLM-based applications and services
- Demonstrated proficiency with modern programming workflows, including LLM-based development tools and agent frameworks
- Experience evaluating interactive question-answering and decision-making systems; formal benchmarking or systematic evaluation experience preferred
- Knowledge of agriculture, agronomy, and AI-based advisory systems for farming or natural resource management
- Experience working on technical projects involving multiple partners with diverse goals and constraints
- Experience managing or contributing to funded software development or research projects, including coordination, reporting, or technical leadership
Skills and Abilities
- Excellent interpersonal…
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