Zensar

Global IT services for digital transformation

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

Hands-on experience integrating large language models such as GPT and Gemini, and performing prompt engineering.
Proficiency with LangGraph and LangSmith for building AI workflows and agents.
Experience with agent builder platforms, multi-agent systems, and orchestration.
Familiarity with Model Context Protocol (MCP), MCP Tools, and agent-to-agent (A2A) communication.
Strong programming skills in Python and familiarity with AI/ML libraries such as PyTorch and TensorFlow.
Knowledge of vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
Experience with CI/CD tools such as Jenkins and GitHub Actions, and monitoring and observability solutions.
A Bachelor's or higher degree in Computer Science, AI, Machine Learning, or a related field.
Ability to work in an agile environment and manage multiple priorities.

Responsibilities

Design, develop, and deploy AI-powered applications using the enterprise AI stack.
Build and execute proof-of-concepts with large language models and modern AI orchestration tools.
Create intelligent agents and multi-agent systems using LangGraph and agent builder platforms.
Implement Model Context Protocol integrations, MCP Tools, and agent-to-agent communication patterns.
Leverage vector stores, embeddings, and Retrieval-Augmented Generation 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 large language models.
Collaborate with cross-functional teams to align AI solutions with business objectives.
Document designs, workflows, and best practices for AI development.

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.

Hands‑on experience integrating LLMs (e.g., GPT, Gemini) and prompt engineering.
Proficiency with LangGraph and LangSmith for building AI workflows and agents.
Experience with agent builder platforms, multi‑agent systems, and orchestration.
Familiarity with Model Context Protocol (MCP), MCP Tools, and A2A communication.
Strong programming skills in Python and familiarity with AI/ML libraries (e.g., PyTorch, TensorFlow).
Knowledge of vector databases, embeddings, and RAG architectures.
Experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and monitoring/observability solutions.
Bachelor’s or higher degree in Computer Science, AI, Machine Learning, or related field.
Excellent problem‑solving abilities and a collaborative mindset.
Ability to work in an agile environment and manage multiple priorities.

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.

About the Company

Zensar

Global IT services for digital transformation

Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.

Company size: 10,001+
Company stage: IPO
Headquarters: Pune, India
Founded: 1991

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