Dtn · Austin, TXPrepare for this interview
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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. J ob 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 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. 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 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. Bonus Skills: 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. What you can expect from DTN: 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)
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