Software Engineer I – AI Agents & Harnesses

Location: GA - Atlanta, CT - Hartford

Remote Type: Hybrid

Time Type: Full time

Job Description

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Technology

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$99,100.00 - $163,400.00

1

What Is the Opportunity?

As a member of the Enterprise AI and Emerging Technology organization at Travelers, you'll be joining a strategic and collaborative team focused on transforming our business and technology capabilities leveraging best in class AI-enabled technology. We're looking for a Software Engineer I in the Enterprise AI Platforms organization to join our team focused on delivering agent harnesses and platform capabilities that enable and accelerate the development of AI applications across the enterprise.

• Will deliver harness capabilities that other engineering teams build on, including orchestration, tool integration, context management, and the guardrails around them.
• Engineers at this level work across the full architecture of product delivery from requirements gathering to maintenance and enhancement of existing systems.
• Will contribute to architecture and solution design in partnership with engineering, architecture, and product, and build SME-level depth in the technologies they own.
• This role is for engineers who take full ownership of what they develop and thrive in a fast-paced environment.

What Will You Do?

• Build and operate agent harness capabilities consumed by engineering teams across the enterprise, working within the team's technical direction.
• Integrate agents with tools, APIs, and enterprise systems, and make those integrations reliable under real load.
• Advance test automation and deliver code against non-functional requirements: secure, observable, scalable, recoverable, financially responsible.
• Contribute to application and solution design in partnership with architects, product owners, and consuming teams.
• Own your assets end to end, including currency, vulnerability management, and production readiness.
• Document your work so others can build on it, and actively deepen your expertise in the technologies you own.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3+ years of hands-on software development experience, including code you have shipped and supported in production.
• Proficiency in Python, with exposure to TypeScript for AI integration work.
• Hands-on experience building generative AI or agentic applications.
• Experience using agentic coding tools, with an informed point of view on where they help and where they fall short.
• Familiarity with the components of an agent harness: orchestration loops, tool interfaces, context and memory management, and guardrails.
• Hands-on experience with AWS and/or Azure cloud services.
• Hands-on experience with containerization and orchestration tools, including Kubernetes.
• Hands-on experience with CI/CD tooling such as GitHub Actions or Jenkins.
• SME-level depth in at least one technical discipline, and the appetite to build more.
• Strong written and verbal communication, including with partners outside engineering.
• Agentic runtimes and harness platforms such as AWS AgentCore experience.
• OSS agent frameworks such as Strands Agents or LangGraph experience.
• Terraform, CDK, or an equivalent for provisioning cloud infrastructure experience.
• Helm for Kubernetes application deployment experience.
• Observability tooling and distributed tracing in production environments experience.

What is a Must Have?

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 2 additional years of software engineering experience.