GEN AI

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

Job summary

Zensar Technologies is seeking a skilled Generative AI Engineer in Bengaluru to design, develop, and deploy AI-powered applications using LLMs, RAG, and AI agents. You will build enterprise-grade solutions, integrate with enterprise systems, and optimize models for business requirements.

You will collaborate with data scientists, architects, and developers, ensuring security, governance, and Responsible AI standards are followed while delivering scalable AI copilots and knowledge platforms.

Qualifications

• Hands-on experience designing and deploying Generative AI solutions.
• Experience with LLMs, RAG, AI Agents, and enterprise AI solutions.
• Knowledge of embeddings, prompt engineering, and model evaluation.

Responsibilities

• Design and develop Generative AI solutions using LLMs for enterprise use cases.
• Build AI-powered chatbots, knowledge assistants, and document intelligence platforms.
• Implement RAG architectures and multi-agent workflows.
• Integrate AI solutions with enterprise systems, APIs, and cloud services.
• Fine-tune models, manage prompts, and optimize performance and latency.

Skills

Python

SQL

REST APIs

Git

Prompt Engineering

Fine-Tuning

Embeddings

Education

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

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

CrewAI

AutoGen

Pinecone

ChromaDB

Weaviate

FAISS

Azure AI Search

Job description

Job Description:

Job Summary

We are looking for a skilled GenerativeAIEngineer 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 EvaluationToken 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.

Requirements