Software Engineer III - Full-stack Developer Anthropic
Listed on 2026-09-12
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Software Development
AI Engineer (Applied/Software), Full Stack Developer, Cloud Engineer - Software, Software Engineer
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 '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 doAs 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 product
- Ability to build and sustain professional relationships
- Ability to lead projects or work streams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
QualificationsRequired:
- 6+ years of professional software engineering…
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