Software Engineer (AI )

About the Role

Design scalable, secure, and high-performance AI applications while leading technical architecture and engineering best practices.

Roles & Responsibilities

• Design scalable, secure, and high-performance AI application architectures.
• Make architecture decisions and provide technical direction across AI application development.
• Own code quality and establish engineering best practices.
• Take AI PoCs and MVPs to production by building APIs, services, integrations, pipelines, environments, and release processes.
• Develop AI applications using Retrieval-Augmented Generation (RAG), agentic workflows, LLM integrations, and AI APIs.
• Partner with AI Engineers to support AI application delivery, evaluation, and observability.
• Build and deploy cloud-native AI applications on Azure.
• Implement and maintain CI/CD pipelines, infrastructure, security, identity, networking, and deployment processes.
• Integrate AI applications with Client and other enterprise systems.
• Ensure AI solutions comply with enterprise security, governance, and compliance standards.
• Write code, review code, build services, establish repositories and pipelines, and improve engineering practices.

Key Skills

• AI Application Architecture & Productionization
• RAG, Agentic Workflows & LLM/API Integration
• Azure Cloud & CI/CD (DevOps)
• Enterprise Integration, Security & Compliance
• Hands-on Software Engineering (APIs, Services, Pipelines, Code Reviews)

Benefits (W2)

• Health insurance
• Health savings account
• Dental insurance
• Vision insurance
• Flexible spending accounts
• Life insurance
• Retirement plan

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.