AI Engineer
Zensar Technologies
Pune Division, Maharashtra, India1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers · Bachelor's degree
- Must know
- LLMsCI/CDPythonMachine learningPyTorchTensorFlow
- Work
- On-site in Pune Division
- Pay
- Not stated by the employer.
- Skill demand
- LLMs80%Python74%Machine learning55%CI/CD42%of 100 similar fresher jobs posted in India this week
- Listed
- 5 Nov 2026 · still open
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About the 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.
Key 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.
Requirements & Tech Stack
- 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.
Qualifications
- 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.