Software Engineer II- Full-stack Developer

Software Engineer II, AI & Engineering/Engineering as a Service

Position Summary

Software Engineer II, AI & Engineering/Engineering as a Service
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.

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.

Recruiting for this role ends on 8/1/26.

Work You'll Do

You are a hands-on full-stack developer who builds, tests, and ships reliable software as part of an agile engineering team.

You contribute to the design and implementation of cloud-native applications and AI-augmented features, growing your technical depth across the stack.

You will work alongside senior engineers to grow your technical skills while making meaningful contributions to our projects.

Key Responsibilities


* Design, build, test, and maintain scalable full-stack features across front-end and back-end systems, following project engineering standards and conventions.


* Write clean, well-documented, and maintainable code; participate in code reviews and contribute constructive technical feedback to peers.


* Develop and maintain back-end microservices and scalable APIs; implement CI/CD pipelines, containerized workloads, and infrastructure-as-code as part of client engagements.


* Integrate LLM APIs (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI) to build intelligent, context-aware features within client applications.


* Implement agentic AI patterns - tool-calling agents, RAG pipelines, prompt chaining, and memory management - within full-stack applications under senior engineer guidance.


* Collaborate on prototyping and iterating AI-powered workflows and automation solutions, contributing to the practice's growing AI delivery capability.


* Participate actively in code reviews, providing and incorporating constructive feedback.


* Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions.


* Identify, diagnose, and resolve bugs and performance issues in development and production environments.


* Assist in breaking down technical requirements into we...