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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Full Stack AI (Python, React, AWS Bedrock) - **Company:** Travelers Companies, Inc. - **Location:** Tower, MN, United States - **Experience:** Expert - **Salary:** $139,400 - $230,000 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Continuous Integration, Software Debugging, Distributed Systems, Python (Programming Language), OpenAI, Software Engineering, Scripting, ReactJS, Large Language Models, Prompt Engineering, AgentCore, Agentic-AI, Information Technology, Claude, Api Design, Agent SDK - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-full-stack-ai-python-react-aws-bedrock-tower-mn--ec22add0-ceac-40d5-9bb4-7da7bb106eb6 ## About the Role Software Engineering, Artificial Intelligence (AI), Python Programming/Scripting Language, Amazon Web Services (AWS), React.js, British Standards Institute (BSI), Artificial Intelligence (AI), Insurance, Cross-Functional, Software Engineering, * At least one year of experience shipping production systems built on LLMs or AI agents (not prototypes or demos). * Demonstrated experience with modern agent frameworks such as Claude Agent SDK, LangGraph, or AgentCore, and with LLM APIs from providers such as Anthropic or OpenAI. * Proficiency with core agent engineering concepts: tool use, retrieval, multi-step workflows, evaluation, and observability. * Strong software fundamentals, including distributed systems, API design, testing, and CI/CD, applied to AI-augmented systems. * Experience defining and driving the technical direction of a workstream or product area, not just executing assigned tasks. * Track record of identifying opportunities and influencing engineering or product strategy through technical insight. * Adept at making decisions that involve a significant number of factors with broad implications. * Communication- Strong communicator who possesses the ability to describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, collaborate effectively with teammates and others regardless of role, quickly extract core issues from discussions and meetings, give and receive constructive feedback, offer help when asked, and ensure everyone has a chance to share their thoughts and is heard; an attentive and empathetic listener. * Leadership- Advanced leadership skills with the ability to take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members. What is a Must Have? * Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience. * 6 additional years of software engineering experience. ## Description The successful candidate brings demonstrated experience shipping production AI agents and LLM-powered systems, proficiency with modern agent frameworks and orchestration tooling, and a track record of defining technical direction within a workstream or product area. The individual will complete advanced software engineering tasks end-to-end, including designing, developing, testing, debugging, documenting, monitoring, and shipping production AI agents and supporting tooling. The individual will partner with product leadership to define technical specifications, serve as a subject matter expert in agent frameworks and AI-assisted development, and provide hands-on technical leadership within the team. What Will You Do? * Own the technical vision for your team's products and shape product vision with the product owner and designer, including supporting data-driven business cases and collaborating on the roadmap to deliver on them. * Design, build, and ship production AI agents that automate impactful parts of end-user workflows. * Implement telemetry that supports product decision-making and reporting. * Work hands-on with modern agent frameworks, LLM APIs, and orchestration tooling to deliver reliable, production-grade systems. * Set direction for agent architecture, evaluation, and observability within the team. * Investigate and resolve critical, high-impact issues affecting agent behavior, accuracy, and reliability in production. * Apply current industry practices in AI, such as tool use, retrieval, evaluation, and prompt engineering. * Engage stakeholders to align a product's technical strategy with broader engineering goals. * Mentor team members and contribute to a collaborative, cross-functional team environment. * Continually expand expertise in agent frameworks, AI tooling, and the business domains your team serves. * Perform other responsibilities as assigned.