Design, build, and deploy the AI capabilities underpinning the RFQ Automation and Negotiation Preparation agents, turning business requirements and enterprise data into reliable, explainable, and production-ready AI workflows.

Key responsibilities
Develop RFQ classification, requirement extraction, product and part matching, quote drafting, evidence retrieval, cited negotiation briefs, scenario generation, and customer roleplay capabilities. Build and optimize LLM, retrieval-augmented generation, prompt orchestration, vector-search, and evaluation workflows; integrate models with enterprise systems; implement guardrails, human approval steps, monitoring, and continuous improvement based on user feedback and performance data. Skills & capabilities Experience building and deploying AI/ML applications; solid Python skills; hands-on experience with LLM APIs, RAG, vector search, model and output evaluation, APIs, and production software-engineering practices. Preferred requirements Experience with technical-document extraction, product or spare-part matching, quotation or CPQ workflows, CRM-based agents, cited answer generation, negotiation simulations, roleplay applications, and governed enterprise AI solutions.

📌 Lead AIML (Bengaluru)
🏢 Impelsys
📍 Bengaluru