AI Leads

Gray Matrix
Mumbai, Maharashtra

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Job details

Qualifications

CI/CD
Data modeling
Azure
Law
Enterprise Software
System design
NoSQL
Git
MongoDB
Master's degree
Databases
Microservices
OOP
AWS
Docker
PostgreSQL
Continuous integration
Redis
APIs
Kafka
AI
Leadership
Python
Software architecture
MySQL

Full job description

Location : MumbaiVacancies : 1

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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About the Role

Key Responsibilities

Required Skills & Experience

Bonus Points / Good to Have

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