Gen AI Developer Associate

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Gen AI Developer Associate

Hexaware

Location

United States

Experience

Senior

Posted

Jul 22, 2026

Apply by

August 21, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Home

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

Key Responsibilities

  • 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.
  • Operationalize models and agentic systems into production in collaboration with ML/Data teams.
  • Implement RAG pipelines, vector search integration, and AI inference layers.
  • Manage model lifecycle concerns including versioning, configuration, evaluation hooks, and rollout strategies.
  • Build safeguards, validations, and fallback mechanisms for AI-driven workflows.

Skills Required

Full Stack DevelopmentLLM IntegrationAgentic AIAPI DevelopmentRAG PipelinesVector SearchDevOpsSystem DesignFrontend FrameworksBackend FrameworksOwnershipCollaborationProblem Solving

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