AI Developer III
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Nov 2, 2026.
Job Summary
We are seeking a highly skilled Full Stack AI Developer III to lead the design and development of enterprise-grade AI-powered applications. The ideal candidate will be responsible for building scalable, secure, and production-ready AI solutions across frontend, backend, APIs, cloud platforms, and AI/LLM services.
Key Responsibilities
Design and develop modern web applications using React.js, Next.js, Angular, or similar frontend frameworks.
Build scalable backend services using Node.js, Python, .NET, Java, or equivalent enterprise technologies.
Develop and manage RESTful APIs, GraphQL services, microservices, and event-driven integrations.
Integrate AI/ML models, Generative AI services, intelligent agents, and enterprise data platforms into business applications.
Implement authentication, authorization, role-based access control (RBAC), and secure application design practices.
Build responsive and user-friendly front-end applications.
Develop scalable backend services and REST APIs.
Collaborate with product managers, UI/UX designers, architects, and business stakeholders.
Define coding standards, development best practices, architectural review processes, and delivery guardrails for scalable, secure, and observable systems.
Partner with AI Quality & Evaluation Engineering teams to align testing strategies, evaluation frameworks, release-readiness criteria, and AI governance standards.
Skill Requirements
Strong expertise in React.js, Next.js, Angular, TypeScript, JavaScript, HTML5, CSS3.
Strong backend development experience using Node.js and Python
Experience with Microservices Architecture, REST APIs, GraphQL, Event-Driven Systems, and API Gateway patterns.
Hands-on experience with Azure, AWS, or Google Cloud Platform.
Experience with containerization and orchestration technologies such as Docker, Kubernetes, OpenShift.
Knowledge of SQL, NoSQL, Vector Databases, and enterprise data integration patterns.
Good to have experience in developing AI/GenAI applications:
- Agentic AI Systems
- Multi-Agent Frameworks
- RAG Architectures
- Semantic Search
- Prompt Engineering
- AI Evaluation & Guardrails
- Responsible AI Practices