AI Engineer
Pune · Mid Level
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HIGH
Our tracked job listings for Zensar Technologies show strong recent activity.
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Job description
- 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.
- 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.
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