Software Engineer – AI Core Team

DTN • Austin, TX

1d • $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 agents 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
• Competitive 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