AI ML Engineer

???? Senior AI/ML Engineer Multi-Agent & MCP Architect
Location: Mumbai (Hybrid)Company: Fin 100X.AI Indias Protocol-Governed AI Financial OS???? Company DescriptionFin 100X.AI is Indias first protocol-governed, AI-powered Financial Operating System built for Bharats 100 crore underserved citizens.We are reimagining finance through:Multi-agent AI orchestration (MCP protocol-driven)Explainable and trustworthy AIRegulatory-first design (RBI, SEBI, IRDAI, PFRDA aligned)Backed by IIT Bombay alumni and top fintech leaders, we are building AI for Bharat that blends technology, trust, and inclusion.???? Role OverviewAs a Senior AI/ML Engineer (MCP + Multi-Agent Orchestration), you will be part of the founding tech braintrust that defines the core AI architecture of Fin 100X.AI.Your mission: Design and deploy a world-class, multi-agent AI stack powered by MCP (Model Context Protocol) to deliver scalable, explainable, and reliable AI-driven financial advisory modules for 100 crore users.You will directly influence:AI Laxmi orchestrationCredit Booster, SIP Planner, Fraud ShieldNational-scale agentic financial intelligence???? Key ResponsibilitiesArchitect and implement multi-agent AI systems using MCP protocolBuild LLM orchestration pipelines (LangChain, AutoGen, CrewAI, MCP)Design retrieval-augmented pipelines (RAG) with vector memory & routingDeploy neural models (NLP, NLU, recommendation engines) at scaleCreate fallback, routing, and governance layers for explainable AIIntegrate real-time financial intelligence APIs (OpenAI, Gemini, HuggingFace, etc.)Mentor junior AI engineers; enforce best practices in ML Ops and agent orchestrationCollaborate with backend/frontend teams for end-to-end AI productionization? Required QualificationsCore Technical SkillsStrong foundation in ML/DL architectures, NLP, and LLMsExpertise in multi-agent orchestration frameworks: MCP, AutoGen, CrewAI, LangGraphAdvanced experience with Python (TensorFlow, PyTorch, HuggingFace, FastAPI)Proficient in vector search systems (Pinecone, FAISS, ChromaDB)Deep knowledge of RAG pipelines, memory graphs, prompt chainingExperience deploying models in cloud-native and microservice architecturesPreferred ExposureFinTech AI systems or regulated AI environmentsAgent evaluation, explainability, and safety-first designScaling AI in hybrid production (cloud + edge) environments???? What We ValueArchitect mindset with hands-on coding skillsSelf-driven innovation and ownership from concept ? deploymentExperience building AI systems for 10M+ scalePassion for financial inclusion, Bharat-first AI, and AI for Good???? PerksShape Indias AI Financial OS from Day 0ESOP track + leadership growthNational showcase at Global FinTech Fest 2025Mentorship with IIT Bombay alumni & top AI architectsSolve real Bharat-scale problems with MCP-first AI innovation