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: - Flexible work arrangements
- Competitive Medical, Dental and Vision Insurance Plans
- Unlimited access to 13k+ courses via learning platform to support employee career advancement
- Employee Assistance Program (EAP)
CompensationThe 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.
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