Description

Key Responsibilities

AI Solution Development

• Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
• Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
• Support model development, evaluation, deployment, and monitoring activities.

Data & AI Engineering

• Build and maintain data pipelines, embeddings pipelines, and vector databases.
• Prepare, transform, and validate data for AI/ML workloads.
• Integrate AI services with enterprise applications and APIs.

Platform & Operations

• Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
• Develop reusable components, prompts, workflows, and AI accelerators.
• Contribute to AI platform enhancements and automation initiatives.

Collaboration & Innovation

• Work with cross-functional teams to define requirements and deliver AI solutions.
• Evaluate emerging AI technologies, models, and frameworks.
• Follow AI governance, security, and Responsible AI guidelines.

Required Skills

• Python and software development fundamentals
• Machine Learning, NLP, and data analytics concepts
• LLMs, Prompt Engineering, RAG, and AI Agent frameworks
• LangChain, LangGraph, LlamaIndex, or similar frameworks
• SQL, APIs, and data integration
• Docker, Git, CI/CD fundamentals
• AWS, Azure, or GCP exposure

Key Skills

Education

Any Gradute