AI-Powered Full-Stack Engineer II

Kardow; Cincinnati (OH); On-site; USD 96,000 - 188,000; Full time

Job summary

Deloitte is seeking a Software Engineer II in the AI & Engineering/Engineering as a Service domain in the United States (Cincinnati area). You will contribute as a hands-on full-stack engineer, building cloud-native applications and AI-augmented features within an agile team.

Responsibilities include designing and maintaining scalable services, integrating LLM APIs, and collaborating with product managers to deliver client solutions. Strong communication and mentorship are valued.

Qualifications

• The candidate has 4–6 years of software engineering experience with full-stack focus.
• 3+ years in full system lifecycle development from requirements to production deployment.
• 2+ years client-facing development or stakeholder engagement experience.
• 2+ years building RESTful APIs or GraphQL services in a team setting.
• Strong fundamentals in data structures, algorithms, and OOP.

Responsibilities

• Design, build, test, and maintain scalable full-stack features across front-end and back-end systems.
• Develop back-end microservices and APIs; implement CI/CD pipelines and IaC.
• Integrate LLM APIs to add AI-powered capabilities to client applications.
• Collaborate with product managers and designers to translate requirements into solutions.
• Write unit/integration/end-to-end tests; participate in code reviews and on-call rotations.

Skills

Independent work

Team collaboration

Effective communication

Deadline-driven

Mentorship

Problem solving

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Git

Jira

Linear

REST/GraphQL

Job description

Deloitte is seeking a Software Engineer II in the AI & Engineering/Engineering as a Service domain in the United States (Cincinnati area). You will contribute as a hands-on full-stack engineer, building cloud-native applications and AI-augmented features within an agile team.

Responsibilities include designing and maintaining scalable services, integrating LLM APIs, and collaborating with product managers to deliver client solutions. Strong communication and mentorship are valued.