Description

You will design, develop, and deploy generative AI applications and autonomous agents for business use cases.

This role is on-site.

Responsibilities

• Build and optimize generative AI solutions using LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
• Develop scalable REST APIs with FastAPI or Flask to serve AI models and microservices.
• Engineer features and manage data retrieval using Elasticsearch, NoSQL, and Neo4j graph databases.
• Implement LLMOps and MLOps pipelines for model monitoring, evaluation, and deployment.
• Collaborate with frontend teams to integrate AI features into React and Node.js environments.

Required Skills

• Expert-level Python programming and advanced SQL.
• Strong foundation in Machine Learning, Deep Learning, and LLM fine-tuning or prompt engineering.
• Experience with vector embeddings, semantic search, and RAG architectures.
• Proven track record of deploying LLM-based applications to production.
• Proficiency with cloud environments (AWS, GCP, or Azure) and CI/CD for ML.
• 2+ years of experience as an AI Engineer or in a specialized Machine Learning role.

Preferred Skills

• Familiarity with Java or C alongside Python.
• Experience with full-stack integration in React/Node.js.

Key Skills

Education

Any Gradute