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Generative AI Engineer @ Zensar

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 Generative AI Engineer

Job Description

We are seeking a Generative AI Engineer with 6 9 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills.
You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A ) and deliver fully functional prototypes that push the boundaries of enterprise AI not just in Jupyter notebooks, but as real applications ready for production exploration.
Key Responsibilities
LLM Applications & Agentic Frameworks
  • MUST have working experience with LangChain/LangGraph frameworks
  • Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP.
  • Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks.
  • Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.
  • Rapidly explore and showcase the art of the possible through functional, demonstrable POCs
Advanced AI Experimentation
  • Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.
  • Create and leverage synthetic datasets to simulate edge cases and scale training.
  • Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability)
  • Evaluate emerging agent communication standards A2A (Agent-to-Agent) and MCP (Model Context Protocol)
Business Alignment & Cross-Team Collaboration
  • Translate ambiguous requirements into structured, AI-enabled solutions.
  • Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders
Good-To-Have
  • Microsoft Copilot Studio
  • DevRev
  • Codium
  • Cursor
  • Atlassian AI
  • Databricks Mosaic AI
Qualifications
  • 6-9 years of experience in software development or AI/ML engineering
  • At least 3 years working with LLMs, GenAI applications, or agentic frameworks (LangChain/LangGraph).
  • Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration
  • Proven track record of developing functional AI prototypes beyond notebooks.
  • Strong presentation and storytelling skills to clearly convey GenAI concepts and value.
  • Ability to independently drive AI experiments from ideation to working demo.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: Zensar
Location(s): Kolkata

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Keyskills:   innovation python orchestration software development natural language processing presentation skills microsoft azure atlassian aiml engineering machine learning artificial intelligence sql docker data bricks deep learning story writing gcp aws ml

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Zensar stands out as a premier technology consulting and services company, embracing an experience-led everythingphilosophy. We are creators, thinkers, and problem solvers passionate about designing digital experiences that are engineered into scale-ready products, services, and solutions to deliver...