engineering
Added 6 hours agoSoftware Engineer – AI Core Team
at DTN
Austin, United StatesHybrid
Responsibilities
- 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.
- Collaborate cross-functionally with product managers, domain experts, and fellow engineers to translate complex business needs into AI-powered solutions.
- Report any fraudulent messaging as phishing or spam.
Requirements
- 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.
- Our mission is to build advanced AI a gents 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.
- Leverage AWS services, including Amazon Bedrock AgentCore and Strands Agents, to architect scalable, reliable AI solutions.
- 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.