AI Architect

Vrinda International; India; On-site; INR 2,000,000 - 2,800,000; Full time

Job summary

Vrinda International is hiring an AI Architect with 8+ years of experience in AI/ML engineering or AI solution architecture to design scalable AI systems for enterprise needs. You will lead technical directions, implement robust AI solutions, and collaborate with cross-functional teams.

You will build AI agents using LangChain, LangGraph, and CrewAI, work with LLMs, NLP tasks, and RAG, and develop REST APIs with FastAPI/Flask.

Qualifications

• 8+ years of AI/ML engineering or AI solution architecture.
• Hands-on experience building AI agents.
• Strong experience with LLMs, NLP tasks, and RAG.
• Proficient in REST API development with FastAPI/Flask.
• Experience with vector databases and cloud AI services.
• Familiarity with CI/CD and MLops practices.

Skills

AI Architect

AI/ML Engineering

LangChain

LangGraph

CrewAI

LLMs

Prompt Engineering

RAG

PyTorch

TensorFlow

HuggingFace

scikit-learn

REST APIs

Tools

Docker

Kubernetes

FastAPI

Flask

PostgreSQL

SQL Server

Redis

Vector Databases

Pinecone

Azure AI Services

MLflow

Git

GitHub Actions

Job description

PAN India (As per Business Requirement), India | Posted on 08/06/2026

• City PAN India (As per Business Requirement)
• State/Province Maharashtra
• Country India
• Zip/Postal Code PAN India (As per Business Req

About Us

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Job Description

We're Hiring | AI Architect

Location: PAN India (As per Business Requirement)

Employment Type: Full-Time

Experience: 8+ Years

Openings: 2

CTC: Up to ₹28 LPA

Requirements

Required Skills

8+ years of experience in AI/ML Engineering or AI Solution Architecture.

Hands-on experience building AI Agents using LangChain, LangGraph, CrewAI, or similar frameworks.

Strong experience with LLMs, Prompt Engineering, and RAG architecture.

Hands-on experience with PyTorch or TensorFlow, Hugging Face Transformers, and scikit-learn.

Strong NLP expertise (NER, Semantic Search, Text Classification, Summarization, Sentiment Analysis).

Experience building REST APIs using FastAPI or Flask.

Hands-on experience with PostgreSQL, SQL Server, Redis, and Vector Databases (Pinecone/Azure AI Search).

Experience with Azure AI Services, Docker, Kubernetes, MLflow, CI/CD, Git, and GitHub Actions.

Strong analytical, leadership, and communication skills.