Associate AI Software Engineer – in -Gen Tools

Requirements

• Education:
  
  Bachelor's degree in Computer Science, related field, or equivalent practical experience
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• 2+ years with JavaScript/Type Script
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• Growth mindset with ambitions to advance to Software Engineer level
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• Adaptability and openness to rapidly evolving AI technologies and tools
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• Ability to work collaboratively in a team environment
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• Strong problem-solving skills and attention to detail
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• (Desirable) To help you self-assess, we use these levels:
  Familiarity (coursework or small project), Working knowledge (shipped code under guidance), Proficiency (can implement end-to-end independently)
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• (Desirable) Java or Spring Framework exposure (Familiarity is great; Working knowledge is a plus)
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• (Desirable) Graph
  
  QL experience (Familiarity to Working knowledge)
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• (Desirable) Familiarity with any of these technologies:
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• (Desirable) Cloud & AI: AWS Bedrock, Lang Chain, Lang Smith
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• (Desirable) Data: SQL, Postgre
  
  SQL, Mongo
  
  DB, Amazon Document DB
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• (Desirable) Infrastructure:
  Terraform, Docker, Kubernetes
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• (Desirable) Messaging/Streaming:
  Kafka

• Join DAT's team as an Associate Software Engineer and be at the forefront of AI innovation in the freight and logistics industry! You'll work on cutting-edge AI tools for both internal and external use while helping maintain our existing technology stack
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• This is an excellent opportunity for an ambitious engineer looking to grow into a Software Engineer role while working with the latest AI technologies
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• Work with Next-Generation AI Tools:
  Configure, integrate, and extend AI services and components (for example, AWS Bedrock, Lang Chain/Lang Smith) to solve business problems
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• Maintain & Enhance Existing Systems:
  Contribute to current repositories and improve codebases across our stack (Node.js/Type Script services, AWS with Terraform, Kafka, Amazon Document
  
  DB, Postgre
  
  SQL, Docker/Kubernetes)
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• Deliver Incrementally in an Agile Environment:
  Ship small, well-scoped PRs; help refine stories into tasks; estimate, demo, and iterate during 2‑week sprints with our 8‑person Scrum team
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• Learn & Grow:
  Follow DAT Engineering standards and practices while working under the guidance of experienced engineers
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• Debug & Fix Issues:
  Troubleshoot across development, test, and production using logs, metrics, and traces in Node.js services and AWS infrastructure
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• Participate in Code Reviews and Quality Practices:
  Learn from feedback; write unit/integration tests; aim for team code coverage targets; practice TDD when appropriate; and document code and public APIs