AI Leads

4 days ago

Mumbai, Maharashtra, India Gray Matrix Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Location : Mumbai Vacancies : 1 Experience : 4+ Years

About the Role

We're looking for a forward-thinking AI Lead to architect and deliver cutting-edge Generative AI solutions. The ideal candidate combines deep Python expertise, mastery of scalable design principles, hands-on experience with LLMs, and strong knowledge of database and cloud systems. This is a leadership role for someone who thrives at the intersection of technology innovation and real-world impact.

Key Responsibilities
  • AI System Design: Lead the development of robust, scalable GenAI applications using Python and modern AI frameworks.
  • LLM Integration: Work extensively with LLMs (GPT, Claude, LLaMA, Mistral) and tools like LangChain, LlamaIndex, LangGraph, and CrewAI for advanced conversational and decision-making workflows.
  • Scalable Code: Write high-quality, modular, testable code with solid foundations in OOP and SOLID principles.
  • Database Engineering: Design and manage relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, and integrate with vector stores (FAISS, Pinecone, Chroma) for RAG systems.
  • Cloud Deployment: Deploy and optimize AI workloads on AWS, Azure, or GCP using cloud-native services and serverless architectures.
  • Team Leadership: Mentor AI/ML engineers, conduct architecture and code reviews, and foster a strong engineering culture.
  • Cross-functional Collaboration: Partner with product, design, and DevOps teams to ship AI features that are reliable, secure, and efficient.
Required Skills & Experience
  • Python Mastery: 3+ years of experience writing production-grade Python code.
  • Software Architecture: Strong understanding of scalable systems, microservices, and API design.
  • LLM/GenAI Stack: Deep hands-on experience with OpenAI APIs, LangChain, RAG pipelines, vector databases, and embedding strategies.
  • Database Skills: Proficiency in data modeling, indexing, and optimization for MongoDB, PostgreSQL, MySQL, and vector stores.
  • Cloud Platforms: Sound working knowledge of AWS, Azure, or GCP.
  • Version Control & CI/CD: Familiarity with Git workflows, Docker, pipelines, and modern deployment practices.
  • Pydantic: Strong grasp of data validation and typing using Pydantic.
Bonus Points / Good to Have
  • Familiarity with Agentic AI frameworks like CrewAI, LangGraph, and multi-agent orchestration.
  • Experience with FastAPI, asynchronous processing, or Kafka.
  • Exposure to real-world use cases in BFSI, Healthcare, Government, or large enterprise systems.

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