Agentic AI Engineer

📋 Description

• Architect and build scalable Generative AI and agentic AI applications from initial concept and
• Design LLM-powered workflows, prompt strategies, reflexive systems, self-learning approaches, and
• Develop intelligent AI agents using LangChain, LangGraph, or comparable agentic frameworks for use
• Evaluate, customize, fine-tune, and optimize state-of-the-art large language models for specific
• Design, implement, and own complete ML/GenAI pipelines covering training, deployment, monitoring
• Build APIs, microservices, integration frameworks, and supporting infrastructure that embed AI

🎯 Requirements

• 6+ years of experience in traditional Machine Learning, including at least 2 years of hands-on
• Strong practical expertise with LLMs, GPT and comparable models, prompt engineering, and agentic AI
• Proven production experience with LangChain, LangGraph, or similar agentic AI frameworks.
• Strong Python skills, including API development, third-party integrations, internal tooling, and AI
• Solid understanding of Transformers, CNNs, RNNs, and practical experience with frameworks such as
• Experience with NLP, embedding models, vector databases, retrieval-augmented generation, and

🎁 Benefits

• Location: India — Remote.
• Employment type: Full-time.
• Compensation: ₹25,00,000–₹45,00,000 per year.
• Opportunity to architect and build next-generation Generative AI and agentic AI products from
• Hands-on exposure to LLMs, multi-agent systems, RAG, NLP, vector databases, and modern AI
• Customer-facing role offering direct exposure to enterprise AI architecture, business requirements