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; robust 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 ( Senior AIML - 3 Months Contract ) (Bengaluru)
🏢 Impelsys
📍 Bengaluru