Job Summary:

Excellent Opportunity with global client @ Bangalore. Immediate Joiners preferred. We are seeking an experienced Data Scientist Artificial Intelligence with strong expertise in Generative AI (GenAI) application development. The ideal candidate should have hands-on experience in building enterprise-grade AI solutions, including copilots, intelligent assistants, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI workflows using modern LLM frameworks.

Key Responsibilities:

1. Build and develop GenAI applications:

- AI Copilots

- Chat Interfaces

- Intelligent Assistants

- AI-powered Automation Workflows

2. Design and implement Retrieval-Augmented Generation (RAG) pipelines:

- Embeddings

- Retrievers

- Vector Databases

- Prompt Engineering Workflows

3. Develop agentic AI workflows:

- LangGraph

- LangChain Agents

- Similar Agentic AI Frameworks

4. Integrate LLM-based applications:

- Enterprise APIs

- Databases

- Cloud Platforms

5. Implement technical components:

- Prompt Templates

- Tool Calling / Tool Usage

- Structured Outputs

- Orchestration Logic

6. Optimize GenAI solutions:

- Accuracy

- Latency

- Reliability

- Cost Efficiency

- Support testing, monitoring, and production deployment of GenAI applications.

- Implement responsible AI practices, including guardrails, safety controls, and governance.

Mandatory Technical Skills:

- Generative AI (GenAI)

- Large Language Models (LLMs)

- Retrieval-Augmented Generation (RAG)

- LangChain

- LangGraph

- AI Copilots / Intelligent Assistants

- Prompt Engineering

- Embeddings

- Vector Databases

- Agentic AI Workflows

- Enterprise API Integration

- Cloud Platform Integration

- AI Orchestration

- Production Deployment of GenAI Applications

Preferred Skills:

- Experience deploying enterprise-scale GenAI solutions.

- Knowledge of responsible AI, guardrails, and AI governance.

- Familiarity with monitoring and optimizing LLM applications in production.

Mandatory Skills Checklist:

- Generative AI (GenAI)

- Large Language Models (LLMs)

- Retrieval-Augmented Generation (RAG)

- LangChain

- LangGraph

- Prompt Engineering

- Embeddings

- Vector Databases

- Agentic AI Workflows

- Enterprise API Integration

- Cloud Platform Integration

- AI Copilots / Intelligent Assistants

- Production Deployment of GenAI Applications

Ideal Candidate Profile:

- 8+ years of relevant IT experience with strong expertise in AI/ML and Generative AI.

- Hands-on experience building enterprise-grade GenAI applications using modern LLM frameworks.

- Strong understanding of RAG architecture, agentic workflows, and prompt engineering.

- Experience integrating AI applications with enterprise systems and cloud platforms.

- Ability to optimize AI solutions for scalability, performance, and responsible AI compliance.