AI Core Software Engineer

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DTN

1001 - 5000 employees

🌾 Agriculture

💰 Grant on 2014-09

Agriculture • Aviation • Utilities & Renewable Energy

DTN is a data and analytics company that provides operational intelligence to various industries, including agriculture, aviation, transportation, and utilities. They offer a range of products, including weather insights, market data, and analytical tools designed to improve decision-making and reduce risks for their clients. Their solutions, such as ClearAg® and WeatherOps®, leverage advanced technology and data analytics to help customers manage their operations effectively and adapt to changing environmental conditions.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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)

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