Description

Lead the design and implementation of agentic AI systems and large-scale ML solutions.

This role is on-site.

Responsibilities

• Architect and build AI agents using frameworks like LangChain, LangGraph, and CrewAI.
• Develop and optimize Generative AI applications leveraging LLMs and NLP techniques.
• Deploy and manage ML workflows on AWS, including SageMaker, Bedrock, Lambda, and API Gateway.
• Engineer and refine prompts for Large Language Models to ensure accuracy and performance.
• Integrate and manage data storage using SQL, NoSQL, and vector databases such as DynamoDB, PGVector, ChromaDB, and FAISS.

Required Skills

• 8+ years of software engineering experience.
• Strong proficiency in Python.
• Hands-on experience with LangChain, LangGraph, CrewAI, and Langfuse.
• Deep understanding of AI Agents, Agentic architecture, and Conversational AI.
• Expertise in prompt engineering and management for LLMs.
• Proficiency in AWS ML ecosystem services.
• Experience with SQL, NoSQL, and vector databases.
• Solid engineering background with large-scale AI/ML systems.

Key Skills

Education

Any Graduate