Software Engineer III - Full-stack Developer with Anthropic Experience

Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations. Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique [... source excerpt omitted ...] gineer III, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements. 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 applic [... source excerpt omitted ...] are 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. A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and s