Gen AI ENGINEER

Zensar Technologies; Bengaluru Urban; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Zensar Technologies in Bengaluru is seeking a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using LLMs, RAG, AI Agents, and modern AI frameworks. The ideal candidate should have hands-on experience in building enterprise-grade Generative AI solutions and integrating them into business applications.

You will build AI chatbots, knowledge assistants, and document intelligence, fine-tune models, implement prompt engineering, and ensure secure, scalable

Qualifications

• Hands-on experience building enterprise Generative AI solutions.
• Experience with LLMs, RAG, and AI agents for business apps.
• Experience integrating AI with enterprise systems and APIs.

Responsibilities

• Design and develop Generative AI solutions using LLMs.
• Build AI-powered chatbots, virtual assistants, knowledge assistants, and document intelligence.
• Design and implement RAG architectures and AI agents for enterprise use cases.
• Integrate AI with enterprise systems, APIs, and cloud services.

Skills

Python

SQL

REST APIs

Git

OpenAI GPT Models

Azure OpenAI

Anthropic Claude

Google Gemini

Llama Models

Mistral Models

Prompt Engineering

Fine-Tuning

Embeddings

LLM Evaluation

Token Management

LangChain

LangGraph

LlamaIndex

Semantic Kernel

CrewAI

AutoGen

Education

Bachelor's or Master’s in CS/AI/Data Science/Engineering

Tools

Pinecone

ChromaDB

Weaviate

FAISS

Azure AI Search

Microsoft Azure

AWS

GCP

Azure Machine Learning

Azure OpenAI Service

AWS Bedrock

Vertex AI

Docker

Kubernetes

CI/CD pipelines

Job description

Job Description:

Job Summary

We are looking for a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern AI frameworks. The ideal candidate should have hands‑on experience in building enterprise‑grade Generative AI solutions and integrating them into business applications.

Responsibilities

Key Responsibilities

• Design and develop Generative AI solutions using Large Language Models (LLMs).
• Build AI‑powered chatbots, virtual assistants, knowledge assistants, and document intelligence solutions.
• Design and implement RAG (Retrieval‑Augmented Generation) architectures.
• Develop AI Agents and multi‑agent workflows for enterprise use cases.
• Integrate AI solutions with enterprise systems, APIs, and cloud services.
• Fine‑tune, evaluate, and optimize foundation models for business requirements.
• Implement prompt engineering techniques to improve response quality and accuracy.
• Work with vector databases and semantic search solutions.
• Monitor model performance, latency, security, and scalability.
• Collaborate with data scientists, architects, developers, and business stakeholders.
• Ensure compliance with Responsible AI, security, and governance standards.

Required Skills

Programming

• Strong proficiency in:
  • Python
  • SQL
  • REST APIs
  • Git

Generative AI & LLMs

• Hands‑on experience with:
  • OpenAI GPT Models
  • Azure OpenAI
  • Anthropic Claude
  • Google Gemini
  • Llama Models
  • Mistral Models
• Strong understanding of:
  • Prompt Engineering
  • Fine‑Tuning
  • Embeddings
  • LLM Evaluation
  • Token Management

AI Frameworks

• Experience with:
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
  • CrewAI
  • AutoGen

RAG & Vector Databases

• Experience building:
  • RAG‑Based Applications
  • Knowledge Search Platforms
  • Enterprise Copilots
• Hands‑on experience with:
  • Pinecone
  • ChromaDB
  • Weaviate
  • FAISS
  • Azure AI Search

Cloud Technologies

• Experience with:
  • Microsoft Azure
  • AWS
  • Google Cloud Platform (GCP)
• Exposure to:
  • Azure AI Services
  • Azure Machine Learning
  • Azure OpenAI Service
  • AWS Bedrock
  • Vertex AI

Data & Integration

• Experience with:
  • Data Pipelines
  • ETL Processes
  • Structured and Unstructured Data Processing
  • API Integrations
  • Enterprise Data Platforms

Qualifications

Preferred Skills

• Experience with Machine Learning and Deep Learning concepts.
• Knowledge of MLOps tools such as MLflow, Kubeflow, or Azure ML.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Understanding of AI Security, Responsible AI, and Model Governance.
• Exposure to multimodal AI solutions involving text, image, audio, or video models.

Educational Qualification

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Soft Skills

• Strong analytical and problem‑solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently and within Agile teams.
• Strong collaboration and teamwork skills.
• Continuous learning mindset with a passion for emerging AI technologies.

Nice to Have

• Microsoft Azure AI Engineer Associate Certification.
• Experience building enterprise AI assistants and copilots.
• Exposure to Retail, BFSI, Healthcare, Manufacturing, or E‑commerce domains.
• Experience with Agentic AI, Multi-Agent Systems, and Autonomous Workflows.
• Contributions to open‑source AI projects or published AI research.

At Zensar, we’re "experience‑led everything". We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: "Together, we shape experiences for better futures". Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is "ONE with Client" - a set of four core values that reflect who we are and how we work: "One Zensar, Nurturing, Empowering, and Client Focus".

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well‑being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.