Software Engineer – AI Core Team

Overview

DTN has been a silent force behind critical industries, helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions.

From agriculture to energy to weather intelligence, DTN’s 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.

Building off a foundation of financial strength, profitability, and industry trust, DTN is accelerating growth and expanding its global footprint.

• 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 Agent Core 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.

• 3+ years of software engineering experience with a solid grasp of APIs, testing, version control, and CI/CD.
• Strong foundation in Python and JavaScript with experience in full‑stack development using Node.js, Next.js, React, and Type Script.
• Hands‑on experience with AI frameworks and tooling (e.g., Lang Chain, Claude SDK, OpenAI APIs, Amazon Bedrock Agent Core).
• Experience building or working with RAG pipelines, vector databases, or semantic search systems; 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.

• AI/ML certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Coursera/Deep Learning.
  
  AI specializations).
• Experience or interest in agriculture, weather, or energy industry domains.

• Competitive Salary
• Generous PTO
• Flexible work arrangements
• Competitive Medical, Dental and Vision Insurance Plans
• 6% 401K matching
• Unlimited access to 13,000+ courses via learning platform to support employee career advancement
• Employee Assistance Program (EAP)
• Variable pay and benefits based on performance.

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.

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  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  to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam.

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.