Software Engineer – AI Core Team

For decades, DTN has been the silent force behind some of the world’s most critical industries—helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights—enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don’t follow trends—we set the standard for precision, trust, and operational impact. 

DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we’re accelerating growth and expanding our global footprint. Our purpose-built solutions—powered by AI and honed by decades of vertical expertise—are helping some of the world’s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.

Job Description:

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. 

What you’ll be responsible for: 

• 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. 

What you will bring to this role: 

• 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 <