Description

Build and deploy AI solutions, including Generative AI, LLMs, and Agentic systems, while managing data pipelines and MLOps/LLMOps processes.

This role is on-site.

Responsibilities

• Develop and implement AI/ML, Generative AI, and Agentic solutions for business use cases.
• Build applications using LLMs, RAG, AI Agents, and intelligent automation frameworks.
• Build and maintain data pipelines, embeddings pipelines, and vector databases.
• Support model development, evaluation, deployment, and monitoring activities.
• Integrate AI services with enterprise applications and APIs.

Required Skills

• Python and software development fundamentals.
• 4+ years of experience in Machine Learning, NLP, and data analytics.
• Experience with LLMs, Prompt Engineering, RAG, and AI Agent frameworks.
• Proficiency with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Strong SQL skills and API integration experience.
• Hands-on experience with Docker, Git, and CI/CD fundamentals.
• Exposure to cloud platforms: AWS, Azure, or GCP.

Preferred Skills

• Experience with AI governance, security, and Responsible AI guidelines.
• Background in developing reusable components, prompts, workflows, and AI accelerators.

Key Skills

Education

Any Gradute