Software Engineer – AI Core Team

DTN • Austin, TX

2d • $101,000 - $124,000 • Remote

About The Position

The DTN Information Hub (DIH) is a bold new initiative designed to transform how we deliver value to our customers across agriculture, weather, and energy. Our mission is to build advanced AI a gents that leverage DTN's trusted data and deep industry expertise to provide customers with actionable insights, informed recommendations, and enhanced decision support. As a Software Engineer on the AI Core Team, you'll be at the heart of this mission — designing and building the agentic systems, LLM-powered workflows, and intelligent infrastructure that power the next generation of DTN products.

Requirements

• 3 + years of software engineering experience with a solid grasp of software fundamentals: APIs, testing, version control, and CI/CD.
• A solid foundation in Python and JavaScript , with developing skills in full-stack development using Node.js, Next.js, React, and TypeScript.
• Hands-on experience with AI frameworks and tooling ( e.g., LangChain , Claude SDK , OpenAI APIs, Amazon Bedrock AgentCore ).
• Experience building or working with RAG pipelines, vector databases, or semantic search systems ; as well as knowledge of prompt engineering and model evaluation techniques.
• Working knowledge of AWS cloud services.
• Excellent written and verbal communication skills — ability to explain complex AI concepts to non-technical stakeholders.
• 4-year degree in Computer Science, Software Engineering, or a related field.

Nice To Haves

• AI/ML certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Coursera/DeepLearning.AI specializations).
• Experience or interest in agriculture, weather, or energy industry domains.

Responsibilities

• Design, build, and maintain agentic AI pipelines and workflows that automate complex, multi-step reasoning and decision support tasks.
• Integrate and fine-tune large language models (LLMs), including prompt engineering, model evaluation, and iterative improvement.
• Develop and optimize Retrieval-Augmented Generation (RAG) systems that ground AI outputs in DTN's trusted data and domain knowledge.
• Build and maintain AI platform infrastructure and observability tooling — including logging, monitoring, tracing, and evaluation frameworks for AI systems in production.
• Leverage AWS services, including Amazon Bedrock AgentCore and Strands Agents, to architect scalable, reliable AI solutions.
• Collaborate cross-functionally with product managers, domain experts, and fellow engineers to translate complex business needs into AI-powered solutions.
• Contribute to a culture of engineering excellence through code reviews, documentation, and knowledge sharing.

Benefits

• Competitive Salary
• Generous PTO
• Flexible work arrangements
• C ompetitive Medical, Dental and Vision Insurance Plans
• 6% 401K matching
• Unlimited access to 13k+ courses via learning platform to support employee career advancement
• Employee Assistance Program (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees