Senior AI | GenAI Engineer (Agentic & Multimodal Systems)
Core
Architect and deploy advanced multi-agent AI systems combining agentic reasoning, predictive intelligence, and multimodal interfaces for real-world environments.
Role type
Senior IC GenAI Engineer (Agentic & Multimodal Systems)
Builds
Multi-agent AI systems, intelligent planning engines, real-time routing systems, multilingual conversational AI, and multimodal content intelligence pipelines.
Domain
Artificial Intelligence / Machine Learning / Agentic Systems
Deliverable
production ML models
Required skills
Multi-agent system architecture, LLM ecosystem integration (Claude), Model Context Protocol (MCP), Python, RAG architectures, Vector databases, Embeddings, Tool-augmented agents, Recommendation systems, Predictive modeling, Optimization algorithms, Production-grade AI deployment
Preferred skills
Voice AI systems (STT/TTS), Indian language NLP, Geo-spatial systems, Real-time signal processing, Computer vision pipelines, Marketplace engine experience, Scalable AI infrastructure (AWS/GCP/Azure)
Technologies
Python, Claude, MCP, Vector databases, AWS/GCP/Azure
Responsibilities
Design and implement multi-agent systems with memory and orchestration; Build structured context pipelines using MCP; Develop intelligent matching and ranking systems; Build AI systems for traffic, weather, and density analysis to optimize routes; Implement STT and TTS pipelines for multilingual conversational systems; Build pipelines for text generation, audio intelligence, video analysis, and image understanding.
Seniority
Senior, hands-on IC