Sr. Software Engineer – AI and Automation (Team Breeze)

Travelers•Atlanta, GA
•$142,900 - $235,800

About The Position

Travelers is hiring a Senior Software Engineer for Team Breeze to build and operate production AI applications at the intersection of large language models, cloud-native infrastructure, and business needs. The role focuses on LLM agents, retrieval pipelines, and production reliability. The engineer will design and develop complex AI applications, implement agent orchestration and end-to-end retrieval-augmented generation pipelines, build services on AWS, and operate containerized services on Amazon EKS. The role also spans infrastructure as code, CI/CD, Python and TypeScript/Node services, and React front-end experiences. The engineer will address high-impact production issues, mentor teammates, and apply current AI, cloud, and observability practices to improve system design and business outcomes.

Requirements

  • Bachelor’s degree in computer science, a related STEM field, or equivalent education and/or work experience.
  • Six additional years of software engineering experience.
  • Demonstrated experience shipping LLM or agent systems to production.
  • Hands-on knowledge of tool calling, prompt and routing design, RAG retrieval quality tuning, and evaluations for LLM and retrieval performance.
  • Strong AWS serverless and EKS experience, including designing and debugging production systems spanning Lambda, API Gateway, and Kubernetes-based containers.
  • Practical experience authoring and maintaining Terraform, Helm charts, and CI/CD pipelines such as GitHub Actions and TEP.
  • Observability experience, including tracing with OpenTelemetry or Dynatrace, structured logging with correlation IDs, cost tracking, and incident handling.
  • Comfort working across Python and TypeScript/Node 24 in the service layer and React 19/Vite on the front end.
  • Familiarity with data and retrieval pipelines from ingestion through embedding to vector-store-backed APIs.
  • Consistent practice of writing tests, evaluations, and data-quality checks.
  • Ability to determine software design strategy and methodology, use automated tests and feedback loops to ensure quality and production readiness, and monitor work efforts and adjacent systems.
  • Demonstrated ability to develop business partnerships, influence priorities, identify solutions aligned with business objectives, and share relevant industry knowledge.
  • Strong problem-solving skills, including using data and proofs of concept, measuring outcomes and impact, and optimizing decisions involving many factors.
  • Ability to explain technology concepts to business audiences, document initiatives clearly, collaborate across roles, give and receive constructive feedback, and listen empathetically.
  • Leadership skills, including taking action without clear ownership, motivating others, and influencing team members.

Nice To Haves

  • Experience with Strands, LangGraph, or Bedrock AgentCore.

Responsibilities

  • Lead the design, configuration, and development of complex, high-visibility AI applications on Team Breeze, focusing on LLM agents, retrieval pipelines, and production reliability.
  • Design and implement agent orchestration flows using AWS Bedrock AgentCore and/or frameworks such as LangGraph, including tool calling, routing, and prompt strategies for Claude models on Bedrock.
  • Own the RAG pipeline end to end, from document ingestion through processing, embedding, and serving from a vector store, including evaluations of retrieval and answer quality before releases.
  • Architect and build AWS services using Lambda, API Gateway, S3, CloudFront/Lambda@Edge, Route 53, Secrets Manager/Vault, and Bedrock application inference profiles for cost tracking and management.
  • Develop and operate containerized retrieval and evaluation services on Amazon EKS, deployed with Helm and ArgoCD, and integrate OpenTelemetry collectors exporting traces to Dynatrace, S3, and Braintrust.
  • Implement and maintain infrastructure as code and CI/CD using Terraform, Terraform Enterprise, GitHub Actions, and TEP pipelines.
  • Build and maintain application layers across Python, TypeScript/Node 24, and React 19/Vite.
  • Lead investigation and resolution of critical, high-impact production issues across AWS services, Kubernetes workloads, data pipelines, and observability tools.
  • Provide technical guidance and mentorship, promoting good practices in design documentation, testing, evaluations, code reviews, and operational readiness.
  • Apply knowledge of current AI/LLM, cloud, and observability trends to improve system design, developer productivity, and business outcomes.
  • Perform other duties as assigned.

Benefits

  • Health insurance coverage for employees and eligible family members beginning on the first day of employment.
  • Dollar-for-dollar 401(k) matching up to the first 5% of eligible pay, subject to an annual maximum.
  • Paying it Forward Savings Program contributions for eligible employees making student loan payments.
  • Pension Plan funded 100% by Travelers.
  • At least 20 days of paid time off annually.
  • Nine paid company holidays.
  • Wellness program with tools, discounts, and resources supporting wellness and caregiving needs.
  • Mental health program with access to free professional counseling, health coaching, and other resources.
  • Matching Gift and Volunteer Rewards program.
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