AI Tech Lead

QBA

Kolkata District

On-site

INR 2,000,000 - 3,200,000

Full time

14 days+
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Benefits offered by this job

Centre of Excellence
Global enterprise clients
Career growth opportunities

Job summary

Qbadvisory in Kolkata is seeking a Lead AI Engineer to drive the design and development of Agentic AI solutions for global clients. You will shape technical strategy, mentor engineering teams, and build scalable AI products leveraging LLMs, knowledge graphs, and vector databases.

The role focuses on production-ready RAG architectures, AI workflow automation, and integration with enterprise systems, with emphasis on governance, security, and reliability.

Qualifications

  • Bachelor’s or master’s degree in computer science or a related technical discipline.
  • Proven experience designing enterprise AI platforms and LLM-driven systems.
  • Strong knowledge of AI pipelines, data engineering, and cloud services.

Responsibilities

  • Architect and lead enterprise-scale Agentic AI solutions.
  • Design production-grade RAG pipelines and retrieval systems.
  • Mentor AI engineering teams and guide technical decisions.
  • Develop scalable AI products integrating LLMs with enterprise systems.
  • Build automation frameworks and AI-powered business processes.
  • Collaborate with cross-functional teams to deliver production-ready platforms.
  • Ensure scalability, governance, security, and reliability.

Skills

Agentic AI
LLMs
Python
RAG Architecture
LangChain
Vector Databases
Prompt Engineering
REST APIs
Data Engineering
Cloud Platforms
Enterprise AI

Education

Bachelor’s or Master’s degree in Computer Science/Engineering/IT/Data Science or related discipline

Tools

Kubernetes
Docker
FastAPI

Job description

Data and AI Hybrid Full-time Hybrid 8 - 10+

Job Summary

Lead the design and development of enterprise-grade Agentic AI solutions, intelligent automation platforms, and production-ready RAG architectures. Drive technical strategy, mentor engineering teams, and build scalable AI products leveraging Large Language Models (LLMs), Knowledge Graphs, Vector Databases, and modern AI frameworks for global enterprise clients.

  • Architect and build enterprise-scale Agentic AI solutions.
  • Design and optimize production-ready RAG pipelines and intelligent retrieval systems.
  • Lead technical design decisions and mentor AI engineering teams.
  • Develop scalable AI products integrating LLMs with enterprise systems.
  • Build automation frameworks and AI-powered business process solutions.
  • Collaborate with cross-functional teams to deliver high-quality AI platforms.
  • Ensure solution scalability, governance, security, and production readiness.
Required Qualifications

Bachelor’s or master’s degree in computer science, Engineering, Information Technology, Data Science, MCA, BCA, B.Sc. (Computer Science/IT) or any related technical discipline.

Required Skills

Agentic AI & Large Language Models (LLMs) Python RAG (Retrieval-Augmented Generation) Architecture LangChain, LangGraph, LlamaIndex Vector Databases (FAISS, Pinecone, Chroma, Qdrant) Prompt Engineering & Context Engineering AI Workflow Automation FastAPI & REST APIs Data Engineering & ETL Pipelines SQL/NoSQL Databases Cloud Platforms (AWS/Azure/GCP) Enterprise AI Solution Architecture

Preferred Skills

Knowledge Graphs & Semantic Search MLOps & Model Deployment Kubernetes & Docker AI Observability & Monitoring Enterprise System Integrations (SAP, ERP, APIs) Fine-tuning Open Source LLMs Experience building production-scale AI platforms

Benefits / Why Join QBA

Join one of the fastest-growing AI consulting teams building a dedicated Centre of Excellence for Agentic AI. At QBA, you’ll work on cutting-edge enterprise AI products, intelligent automation platforms, Proof of Concepts (POCs), and real-world AI implementations for global clients while collaborating with a highly skilled engineering team.

Additional Information

Full-time position based out of Kolkata with opportunities to work on enterprise AI transformation initiatives, next-generation AI products, and global client engagements.

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