Description

Job Responsibilities include:

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

Lead end‑to‑end AI solution development, from concept and architecture to production deployment.

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

Collaborate with data engineering and DevOps teams on cloud deployment, CI/CD, and infrastructure design.

Provide technical leadership, architecture guidance, and mentorship across AI/NLP initiatives.

Ensure AI solutions meet security, compliance, performance, and reliability standards.

Required Qualifications:

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

10+ years of overall experience in software engineering and solution architecture.

Proven expertise in designing enterprise‑scale GenAI solutions using Python, LangChain/LangGraph, RAG, and agentic AI architectures.

Strong experience leading AI solution architecture and deployments on cloud platforms (AWS, Azure, or GCP) with cross‑functional teams

Key Skills

Education

Any Graduate