Senior AI Engineer | Hybrid | 5+ Yrs | Immediate

Bandhan Technologies; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Bandhan Technologies seeks a Senior AI Engineer with strong GenAI and LLM skills to build real business applications by weaving AI features into client software, databases, and daily workflows. You will not just tweak prompts but connect AI to enterprise processes and data sources.

Responsibilities include building a scalable search and recommendations engine, an interactive AI chat that can trigger actions like purchase orders and compliance checks, and ERP integrations (NetSuite).

Qualifications

• 5 to 8 years software development experience, with 2–3 years directly hands-on with GenAI, LLMs
• Proficiency in Python: FastAPI, Flask, REST APIs, and microservices architecture
• Vector engines/DBs experience
• LangChain, LlamaIndex, LangGraph, or CrewAI experience
• Direct integration with major foundation model APIs (OpenAI, Anthropic, Gemini, Hugging Face)
• ERP integrations (NetSuite, SAP) and enterprise backends
• Collaborative Filtering / Hybrid ML vs. LLM-based reranking

Responsibilities

• Build a smart catalogue search & recommendations engine for millions of product variations
• Develop an interactive AI chat that can perform actions like creating POs and triggering compliance checks
• Design an actionable agentic chat interface to initiate enterprise workflows
• Create pipelines to summarize long customer call transcripts
• Integrate AI tools with ERP systems and existing platforms (NetSuite)

Skills

GenAI & LLMs

Python

REST APIs

Microservices

Vector DBs

LangChain/LLamaIndex

LLM APIs

ERP integration

Enterprise backend

Recommendation engines

Tools

FastAPI

Flask

Job description

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 8 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/DB’s.


• 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