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Lead Research Engineer - NCSA

Job in Urbana, Champaign County, Illinois, 61803, USA
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
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
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).
Minimum Qualifications
  • 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
Specialty Factors
  • 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
Preferred Qualifications
  • 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
Knowledge,

Skills and Abilities
  • Excellent interpersonal…
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