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 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
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)
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 change with smarter decisioning.
Recruitment Fraud Notice:
DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official @dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process.
If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at [email protected] to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam.
DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
