Senior Ai Genai Engineer Agentic Multimodal Systems

## About the Role We are building next-generation AI systems that operate in real-world environments — combining agentic reasoning, predictive intelligence, multilingual voice interfaces, and intelligent routing. We are looking for a Senior AI | GenAI Engineer who can architect and deploy advanced multi-agent systems capable of planning, recommendation, contextual reasoning, and real-time adaptation. This role goes beyond simple LLM integrations. You will design AI systems that think, decide, allocate, optimize, and interact across modalities. ## What You'll Build - Multi-agent AI systems using modern LLM ecosystems (including Claude) - MCP-based structured context architectures - Intelligent planning and reasoning agents - Real-time routing and decision-support engines - AI-driven recommendation and allocation systems - Multilingual conversational AI (text + voice) - Predictive and optimization models for real-world workflows - Multimodal content intelligence systems (text, image, video, audio) ## Key Responsibilities ### 1️⃣ Agentic Architecture & LLM Systems - Design and implement multi-agent systems with memory, tools, and orchestration - Build structured context pipelines using MCP - Implement reasoning-driven workflows across dynamic environments - Integrate LLMs with external APIs, databases, and live signals ### 2️⃣ Prediction, Recommendation & Allocation - Develop intelligent matching and ranking systems - Build recommendation engines based on profile, history, and contextual signals - Design predictive models for demand, allocation, and optimization - Implement decision engines that adapt to real-time changes ### 3️⃣ Real-Time Routing & Navigation Intelligence - Build AI systems that analyze: - Traffic - Weather - Density / crowd signals - Scheduling constraints - Optimize routes and sequencing dynamically - Improve user experience through adaptive planning ### 4️⃣ Voice & Indian Language AI - Build multilingual conversational systems - Implement STT and TTS pipelines - Ensure fluency and contextual accuracy in Indian languages - Design voice-first AI workflows ### 5️⃣ AI Assessment & Performance Intelligence - Build scoring and evaluation systems - Design AI-driven performance insights - Develop profile intelligence frameworks - Implement feedback-loop learning systems ### 6️⃣ Multimodal AI & Content Intelligence - Build pipelines for: - Text generation - Audio intelligence - Video analysis - Image understanding - Implement AI moderation and safety systems - Detect inappropriate or unsafe content across modalities ## Technical Requirements ### Must Have - Strong experience with Claude or similar advanced LLM ecosystems - Deep understanding of MCP (Model Context Protocol) - Experience building multi-agent AI systems - Strong Python expertise - Experience with: - RAG architectures - Vector databases - Embeddings - Tool-augmented agents - Experience in: - Recommendation systems - Predictive modeling - Optimization algorithms - Experience building production-grade AI systems ### Strong Plus - Experience with: - Voice AI systems (STT / TTS) - Indian language NLP - Geo-spatial systems - Real-time signal processing - Computer vision pipelines - Background in marketplace or allocation engines - Experience deploying scalable AI infrastructure (AWS/GCP/Azure) ## What We're Looking For - Systems thinker, not just prompt engineer - Strong problem-solving & architecture skills - Ability to move from concept → production - Comfortable working with ambiguity - High ownership mindset - Interested in building applied AI with real-world impact ## Why Join - Build advanced agentic AI systems beyond basic chatbots - Work on real-time intelligence + decision-making AI - High autonomy and technical ownership - Opportunity to define scalable AI infrastructure from scratch