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Zensar
AI Engineer
AI Engineer
On-siteSeniorAI EngineerJust posted
Role summaryAI-generated
The AI Engineer will design, develop, and deploy end‑to‑end AI solutions using Zensar's enterprise stack, LLMs, and multi‑agent frameworks. Responsibilities include building POCs, integrating Model Context Protocol, and managing CI/CD pipelines for production‑grade AI applications.
Skills required
About this role
Zensar Technologies Limited is seeking a skilled AI Engineer to join our innovative team. You will work end‑to‑end on AI‑powered solutions, from concept through production, leveraging our enterprise AI stack, large language models, and multi‑agent frameworks to deliver cutting‑edge applications for our clients.
Responsibilities
- Design, develop, and deploy AI‑powered applications using Zensar's enterprise AI stack.
- Build and execute proof‑of‑concepts (POCs) with Large Language Models (LLMs) and modern AI orchestration tools.
- Create intelligent agents and multi‑agent systems using LangGraph and agent builder platforms.
- Implement Model Context Protocol (MCP) integrations, MCP Tools, and agent‑to‑agent (A2A) communication patterns.
- Leverage vector stores, embeddings, and Retrieval‑Augmented Generation (RAG) architectures.
- Manage source code through CI/CD pipelines and ensure observability of AI applications.
- Contribute to and maintain the internal agent registry and integration standards.
- Perform prompt engineering and fine‑tuning for GPT, Gemini, and other LLMs.
- Collaborate with cross‑functional teams to align AI solutions with business objectives.
- Document designs, workflows, and best practices for AI development.
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