Fullstack Engineer developing Customer & Marketing web applications for a leading European retail company. Collaborating with teams on innovative AI solutions and technology integration.
About the role
- Software Engineer building intelligent systems and workflows for AI-driven insights at DTN. Collaborating with cross-functional teams to deliver innovative solutions in agriculture, weather, and energy sectors.
Responsibilities
- 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.
- Bonus Skills: AI/ML certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Coursera/DeepLearning.AI specializations).
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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