AI Engineer | Immediate | Hybrid | 5+ Yrs

Bandhan Technologies Private Limited; Bengaluru; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

Bandhan Technologies Private Limited seeks a Senior AI Engineer in Bengaluru with deep Generative AI expertise. You will build real business applications by integrating AI features into existing software, databases, and daily workflows, moving beyond prompt tinkering.

The role focuses on building a smart catalog search, interactive AI chat with real actions, and enterprise workflow automation. Strong experience with LangChain, vector databases, and ERP integrations is required to deliver

Qualifications

• 5 to 7 years of total software development experience with strong GenAI exposure.
• Advanced Python backend development including FastAPI/Flask/AsyncIO.
• Hands-on with vector databases and search technologies.
• Experience with LangChain, LlamaIndex, LangGraph, or CrewAI for multi-step reasoning.
• Direct integration with major foundation model APIs (OpenAI, Anthropic, Gemini, Hugging Face).
• ERP integrations (NetSuite, SAP) and backend system connections.
• Knowledge of hybrid ML and LLM-based reranking.

Responsibilities

• Build a scalable AI platform integrating GenAI features into client software.
• Develop a smart catalogue search and recommendations engine.
• Create an interactive AI chat that can trigger enterprise actions and PO creation.
• Summarize long call transcripts and automate key extraction.
• Connect AI tools with ERP systems like NetSuite behind the scenes.
• Implement a robust enterprise-grade AI collaboration framework.

Skills

GenAI/LLMs

Python

REST APIs

Microservices

Recommendation engines

Model orchestration

Collaborative filtering

Tools

FastAPI

Flask

AsyncIO

LangChain

LlamaIndex

LangGraph

CrewAI

OpenAI API

Anthropic API

Google Gemini API

Hugging Face APIs

NetSuite

SAP

Job description

Role Summary

We Are Looking For a experienced Senior AI Engineer who is strong in Generative AI skills to build real, working business applications. This is not just tweaking prompts, rather connecting smart AI features into client's existing software, databases, and daily workflows.

Key Responsibilities

• Smart Catalogue Search & Recommendations: Build a search and recommendation engine that can navigate millions of product variations (like 50,000+ types of office furniture) and help users find exact, compliant items quickly.
• Interactive AI Chat & Automation: Create an AI chat interface that doesn't just answer questions, but takes actual actionslike creating Purchase Orders (POs), triggering compliance checks, and updating core backend systems.
• Design an Actionable Agentic Chat Interface capable of initiating enterprise workflows
• Call Transcript Summarization: Build pipelines to process, clean, and summarize long customer call transcripts so key details are captured automatically.
• Integration & Backend Work: Connect these AI tools into existing company platforms (including ERP systems like NetSuite) so everything runs seamlessly behind the scenes.
• Build Intelligent Recommendation Engine

Must-Have Experience

• 5 to 7 years of total software development experience, with at least 23+ years directly hands-on with GenAI, Large Language Models (LLMs), and production AI engineering.
• Proficiency in Python: Advanced mastery of core backend development (FastAPI, Flask, AsyncIO), REST APIs, and microservices architecture.
• Vector Databases & Search: Proven experience with vector engines/DBs.
• Agentic Frameworks & LLM Stack: Hands-on experience with LangChain, LlamaIndex, LangGraph, or CrewAI for multi-step reasoning, memory retention, and tool calling.
• Model APIs & Orchestration: Direct integration experience with major foundation model APIs (OpenAI, Anthropic, Google Gemini, Hugging Face).
• Enterprise Integration: Experience connecting AI services to ERP systems (NetSuite, SAP), custom backends, and external third-party software.
• Collaborative Filtering / Hybrid ML vs. LLM-based Reranking