AI Solutions Developer & Data Steward

Vylor Inc.; Des Moines (IA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Parental leave

Tuition reimbursement

Retirement plan

Job summary

Vylor, Inc. in Des Moines, IA is seeking an AI Solutions Developer & Data Steward to join the Trait Analytics and Computational Discovery team. You’ll design AI agents, LLM-powered workflows, and data-driven research tools that scientists can use day-to-day.

This role blends data curation, governance, and rapid prototyping, partnering with researchers to turn scientific needs into practical software within days. A strong Python background and experience with LangChain or similar tools are valued.

Qualifications

• Experience with modern AI/ML and LLMs.
• Prototyping mindset in a research setting.
• Strong Python programming skills.

Responsibilities

• Design AI agents, LLM-powered workflows, and retrieval-augmented solutions for research needs.
• Prototype proofs of concept quickly with scientists and researchers.
• Curate, organize, and maintain research datasets for analysis-ready inputs.
• Champion FAIR data principles and data governance across teams.

Skills

Python

AI/ML

LangChain

LLamaIndex

Data governance

Data curation

Education

BS/BA in CS/Math/Bio

Tools

LangChain

LLM orchestration

Job description

Join Vylor—Powering the Future of AgricultureAt Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer, Brevant, and Hoegemeyer, delivering performance farmers rely on.Join us to help scale innovation globally and shape what’s next in crop science.We are seeking a highly motivated and versatile AI Solutions Developer & Data Steward to join the Trait Analytics and Computational Discovery team at Corteva. Embedded directly Biotechnology, you will bring together two complementary strengths: ensuring the research data we rely on is trustworthy, well-organized, and ready for analysis, and rapidly building intelligent, LLM- and agent-powered solutions that accelerate scientific discovery.Rather than shipping formal production software, you will thrive on delivering nimble point solutions, proofs of concept, and prototypes that put modern AI directly into the hands of researchers. You will work shoulder-to-shoulder with scientists to understand their day-to-day challenges, identify where AI agents and better data practices can unlock value, and turn those insights into working tools, often in days rather than months. This is an exciting opportunity to operate at the frontier of generative and agentic AI while making a tangible impact on agricultural research and innovation.Key ResponsibilitiesDesign and build AI agents, LLM-powered workflows, and retrieval-augmented (RAG) solutions that address specific research needs.Partner with Vylor’s Enterprise Digital group to ensure AI solutions and workflows align with company security, privacy, and compliance standards.Engage with Vylor’s Enterprise Digital group to stay current on emerging technologies, AI capabilities, and best practices, ensuring research solutions align with strategic technology direction.Rapidly prototype point solutions and proofs of concept, iterating closely with scientists to refine and validate them.Integrate large language models, APIs, and modern AI tooling into practical, research-facing applications.Curate, organize, and maintain research datasets to ensure they are accurate, well-documented, and analysis-ready.Champion FAIR data principles (Findable, Accessible, Interoperable, Reusable) and sound data governance across the research groups.Build and maintain data pipelines, documentation, and metadata that make datasets discoverable and reusable—including as high-quality inputs for AI agents and models.Partner with researchers to improve data quality, consistency, and provenance at the source.Stay current with the fast-moving landscape of generative AI, agent frameworks, and machine learning, and bring emerging techniques into the team's toolkit.QualificationsBachelor's degree in Computer Science, Data Science, Mathematics, a Biological Science, or a related field. Postgraduate degree preferred.Hands-on experience with modern AI/ML, including large language models and, ideally, agent frameworks or LLM orchestration tools (e.g., LangChain, LlamaIndex, or similar).Strong programming skills, particularly in Python (R or other languages a plus).Familiarity with data management best practices—data curation, pipelines, metadata, and governance.A prototyping mindset: comfortable working with ambiguity, iterating quickly, and delivering usable solutions in a research setting.Excellent problem-solving, analytical, communication, and collaboration skills, with the ability to translate scientific needs into technical solutions.Curiosity about agriculture and the life sciences, and enthusiasm for applying cutting-edge AI to real-world scientific problems. **Please not there is no visa sponsorship available for this role.Benefits – How We’ll Support You:Numerous development opportunities offered to build your skillsBe part of a company with a higher purpose and contribute to making the world a better placeHealth benefits for you and your family on your first day of employmentFour weeks of paid time off and two weeks of well-being pay per year, plus paid holidaysExcellent parental leave which includes a minimum of 16 weeks for mother and fatherFuture planning with our competitive retirement savings plan and tuition reimbursement programLearn more about our total rewards package here - Corteva BenefitsCheck out life at Vylor! https://www.linkedin.com/company/vylorgenetics/Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.Corteva announced to separate our current advanced seed and genetics business to establish a standalone company, operating as Vylor, Inc. The process of the planned separation is anticipated to be completed the fourth quarter of 2026, subject to legal requirements and board approval. Should you accept this position, it is anticipated that, following conclusion of the separation, you would be an employee of Vylor, Inc. and your employment would be governed by Vylor, Inc. employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by Vylor, Inc. at an appropriate time and subject to any necessary consultation processes.Vylor is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.