Gen AI Developer Associate

Hexaware Technologies; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Hexaware Technologies is seeking a Senior Full Stack Engineer with 8+ years of experience to join our AI Engineering Team in the United States. You will design and build end-to-end AI-powered applications, integrating LLMs and agentic AI components into scalable workflows and production-ready platforms.

You will collaborate with ML engineers, business owners and product teams to deploy robust AI-powered applications, implement RAG pipelines, vector search, and ensure operational excellence

Qualifications

• Experience building full-stack AI-powered applications.
• Proficient in modern frontend and backend frameworks.
• Hands-on with AI component integration and DevOps pipelines.

Responsibilities

• Design and build end-to-end AI-powered applications using frontend and backend frameworks.
• Integrate LLM and agentic AI components into user-facing and system workflows.
• Develop APIs and services to support agent orchestration, tool calls, and workflow execution.

Skills

Front-end development

Back-end development

AI integration

DevOps

System design

Deployment

Operational excellence

Tools

LLM integration

Job description

We are looking for a Senior Full Stack Engineer (8+ years experience) to join our AI Engineering Team, focused on building and scaling agentic AI solutions and taking AI systems from concept to production-grade, enterprise-ready platforms. This role requires deep hands-on experience across frontend, backend, AI integration, and DevOps, with strong ownership of system design, deployment, and operational excellence. You will work closely with ML engineers, business owners and product teams to deliver robust, scalable AI-powered applications. Key Responsibilities Full Stack & AI Application Development •Design and build end-to-end AI-powered applications using modern frontend and backend frameworks. •Integrate LLM and agentic AI components into user-facing and system-facing workflows. •Develop APIs and services that support agent orchestration, tool calling, and workflow execution. •Build intuitive UIs for AI-assisted workflows, human-in-the-loop interactions, and monitoring. Agentic AI & Production Systems •Work with ML/Data teams to operationalize models and agentic systems into production. •Implement RAG pipelines, vector search integration, and AI inference layers. •Handle model lifecycle concerns: versioning, configuration, evaluation hooks, and rollout strategies. •Build safeguards, validations, and fallback mechanisms for AI-driven workflows. DevOps, Reliability & Scale