S&C Global Network - AI - Hi Tech - Data Science Associate

Key Responsibilities

Generative AI, Agentic AI and RAG

Support the development of LLM-powered applications using prompts, APIs, and established frameworks.

Contribute to retrieval-augmented generation (RAG) solutions by preparing, organizing, and validating knowledge sources.

Assist in building and testing conversational AI applications and agent workflows under guidance from senior team members.

Perform functional testing and validation of AI application outputs using defined test cases.

Help analyze responses, identify improvement opportunities, and document findings.

Cloud Platform Expertise

Work with Azure and/or AWS AI services under supervision.

Support environment configuration, application testing, and monitoring activities.

Learn and apply enterprise security and access management standards.

AI Engineering and Deployment

Develop Python-based components and integrations with APIs and enterprise systems.

Use Git and standard development practices for source code management and collaboration.

Create technical documentation and support testing, troubleshooting, and deployment activities.

Technical Skills

Programming and APIs:

Python, SQL, JSON, REST APIs and sound software engineering practices.

GenAI Fundamentals:

Prompt engineering, LLM applications, and basic understanding of RAG and AI assistants.

Cloud and AI Platforms:

Exposure to Azure and/or AWS cloud services.

Preferred Skills

Exposure to Generative AI frameworks such as LangChain, LangGraph, or similar tools.

Basic understanding of agentic AI concepts, tool calling, and workflow orchestration.

Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.

Familiarity with vector databases, embeddings, and enterprise knowledge retrieval concepts.

Exposure to Git, Docker, CI/CD, or software development lifecycle practices.

Strong communication, analytical thinking, and collaborative problem-solving skills.

Additional Information:

The position is based in Bengaluru (preferred), Kolkata or Gurugram. Candidates should be able to demonstrate hands-on contributions to AI solutions and explain the business problem, their contribution and how the solution was tested.

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