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 requirements. Recruiting for this role ends on 11/1/2026. Work you'll do As a Senior Consultant, Software Engineer 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 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. 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 produ.

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