Description

You will design and build generative AI applications, autonomous agents, and scalable backend services.

This role is on-site.

Responsibilities

• Design and implement generative AI applications using LangChain, LlamaIndex, and LangGraph.
• Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
• Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
• Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
• Establish LLMOps and MLOps pipelines for model monitoring, evaluation, and deployment.

Required Skills

• Expert-level Python with strong hands-on coding experience.
• Advanced SQL and experience with vector embeddings and semantic search.
• Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
• Databases: ElasticSearch, NoSQL, and Neo4j.
• Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.
• Proven experience with FastAPI or Flask for production APIs.
• Familiarity with React and Node.js for full-stack AI integration.
• Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML.

Preferred Skills

• Minimum 5 years of experience as an AI Engineer or in a specialized Machine Learning role.
• Proven track record of deploying LLM-based applications to production.

Key Skills

Education

Any Gradute