Description

Job Responsibilities include:

Design and architect scalable GenAI solutions using LangChain, LangGraph, RAG, and agentic AI patterns.

Lead Python-based development of AI agents, workflows, and intelligent services from prototype to production.

Build and optimize RAG pipelines leveraging vector databases, knowledge graphs, and LLM integrations.

Collaborate with data engineering and DevOps teams to deploy models, pipelines, and AI services in cloud environments.

Provide technical leadership, code reviews, and architectural guidance across AI/NLP initiatives.

Ensure AI solutions meet security, compliance, performance, and reliability standards while staying current with emerging AI technologies.

Required Qualifications:

Bachelor’s degree in computer science, Engineering, Artificial Intelligence, or a related field.

5–8+ years of professional experience in software engineering with AI/ML focus.

Strong hands‑on experience with Python and production deployment of LLM, RAG, and agentic AI solutions using LangChain/LangGraph.

Proven ability to lead AI architecture and development in cloud environments (AWS, Azure, or GCP) with strong cross‑functional collaboration skills

Key Skills

Education

Any Graduate