Software Engineer III - Full-stack Developer with Anthropic Experience

About the role

Agentic AI is expanding its team of engineers to support the responsible and scalable development of autonomous, multi-agent systems. This role is part of the Engineering as a Service team, focusing on designing and delivering full-stack software and AI-enabled solutions for client engagements.

Responsibilities

• Architect, design, and implement scalable full-stack features across front-end and back-end systems
• Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code
• Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring
• Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions
• Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews
• Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations

Requirements

• 6+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment
• 4+ years of experience designing, developing and delivering AI/ML solutions
• At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
• At least 1 year of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integrations
• At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models
• At least 1 year of experience leading project workstreams or engagement, translating business problems into AI solutions and delivering measurable outcomes
• 4+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js
• 4+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces
• One year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting
• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience

Qualifications

• Ability to work independently and collaborate as part of a team
• Meticulous attention to detail and quality of work product
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

Benefits

• Flexible delivery models tailored to each client's needs
• Engineering-led advisory, implementation, and operational capabilities
• Experience with Docker and Kubernetes
• Experience with continuous integration/continuous deployment pipelines and DevOps practices
• Experience working in an Agile/Scrum environment using tools such as Jira or Linear
• Industry-recognized cloud certifications such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Professional Developer
• Hands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API

Pay

The wage range for this role is $122,000 to $240,500, taking into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

Schedule

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.