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Gen AI Developer Associate

HEXAWARE
Posted 2 months ago, valid for 12 days
Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are seeking a Senior Full Stack Engineer with over 8 years of experience to join our AI Engineering Team.
  • This role involves building and scaling agentic AI solutions, requiring expertise in frontend, backend, AI integration, and DevOps.
  • The engineer will collaborate with ML engineers and product teams to develop robust, scalable AI-powered applications.
  • Key responsibilities include designing end-to-end applications, integrating AI components, and operationalizing models into production.
  • The position offers a competitive salary, reflecting the seniority and expertise required for this role.

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




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