AI Core Software Engineer

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)   Compensation The targeted hiring base pay range for this position is between $101,000 and $124,000 . DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits. #LI-Engineering #LI-AI #LI-REMOTE #LI-TH1 About DTN: DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights—empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.  At DTN, we value clarity, trust , and action . We’re a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters – and that mission is at the core of what we do. Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable. Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act. Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts. Future-Forward: We see what’s coming- and we’re ready. We help customers lead through c