Software Engineer II - Full-Stack Developer (AI & Engineering)

About the role

Deloitte is recruiting a Software Engineer II, Full-Stack Developer for its AI & Engineering practice, which builds, deploys and operates software, data, AI, network and hybrid cloud solutions for clients. The role is open in 30 locations across the US, and recruitment closes on 11/30/26.

Key responsibilities

• Design, build, test and maintain scalable full-stack features across front-end and back-end systems, following project engineering standards.
• Develop and maintain back-end microservices and APIs, and implement CI/CD pipelines, containerized workloads and infrastructure-as-code.
• Integrate LLM APIs (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI) and implement agentic AI patterns such as tool-calling agents, RAG pipelines, prompt chaining and memory management.
• Collaborate with product managers, designers and engineers to turn requirements into technical solutions, and help prototype AI-powered workflows.
• Write unit, integration and end-to-end tests, take part in code reviews, and support junior engineers through pairing and mentorship.
• Take part in on-call rotations, incident response and post-mortems, and help break down requirements into scoped tasks.

Required profile

• 4-6 years of professional software engineering experience focused on full-stack development.
• 3+ years of full system lifecycle development, from requirements to production deployment.
• 2+ years in a client-facing development role or proven ability to work with external stakeholders.
• Bachelor's degree in computer science, engineering or a related field, or equivalent professional experience.
• Ability to travel up to 50%; limited immigration sponsorship may be available.

Required skills

• At least one back-end language (Python, Java.NET, Go or Node.js) and a modern front-end framework (React, Angular or Vue.js).
• RESTful APIs and/or GraphQL, Git, and automated test suites.
• At least one cloud platform (AWS, Azure or GCP) and hands-on experience with an LLM platform or generative AI API.
• Preferred: Docker, Kubernetes, CI/CD and DevOps practices, Agile/Scrum (Jira or Linear), open-source contributions, cloud certifications, and mentoring interest.