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 actions—like 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 2–3+ 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.
- Cooperative Filtering / Hybrid ML vs. LLM-based Reranking

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 Bandhan Technologies
📍 Bengaluru