Lead backend and generative AI engineering for an AI-native business intelligence platform, managing a cross-functional team and driving architecture decisions.

About the Company

Icogz Pvt Ltd builds Aryabot™, an AI-native business intelligence platform that unifies fragmented enterprise data sources and delivers insights through a conversational, natural-language interface. The platform is built on the company's proprietary Autonomous Intelligence Architecture (AIA™). Icogz serves enterprises across retail, banking, insurance, FMCG, real estate, manufacturing, and e-commerce, and is headquartered in Mumbai, India. The company is focused on revolutionizing how businesses interact with their data through agentic AI and advanced analytics.

Role Overview

We are hiring a Senior Engineering Lead to own our backend and Generative AI architecture, and to direct (not necessarily hand-build) our data and frontend layers. This role requires a working technical lead who will write code, make architecture calls, and manage a small team of backend and frontend developers. You will run the Python backend including Django/FastAPI, LLM-powered agentic pipelines, and data infrastructure, while closely collaborating with frontend engineers building React/TypeScript dashboards. This is an onsite position based in Mumbai.

Key Responsibilities

• Technical Leadership: Manage and mentor a cross-functional team of backend (Python) and frontend (React) developers. Own the technical roadmap for backend and GenAI systems, and direct frontend architecture decisions in collaboration with frontend leads. Work with Product, Design, and Data Science to translate requirements into technical scope.
• Backend & GenAI: Design and maintain Python backend services and RESTful APIs using Django/DRF and FastAPI. Build AI agents and multi-agent systems within icogz's Aryabot/AIA™ architecture, using CrewAI or equivalent framework covering task decomposition, tool use, agent memory, and retrieval-augmented generation. Design NL-to-SQL and conversational analytics interfaces for LLM-driven querying. Optimize PostgreSQL and MongoDB for performance and schema design in a multi-tenant SaaS environment. Maintain data processing pipelines using Pandas, PypSpark, and Dask.
• Frontend Direction: Set technical direction for React/TypeScript development and state management (Redux or Context API), reviewing architecture decisions made by frontend engineers. Guide development of data-dense dashboards using Apache ECharts and D3.js. Set standards for frontend performance including rendering optimization for large datasets, lazy loading, and efficient data handling.
• Delivery: Run code review across the stack. Own CI/CD pipelines, testing strategy (Pytest required; Jest/Cypress for frontend), and deployment. Lead incident response and root cause analysis for production issues. Manage technical debt and long-term codebase health.

Tech Stack

• Backend: Python, Django/DRF, FastAPI, CrewAI (agentic framework), Pandas, PypSpark, Dask
• Databases: PostgreSQL, MongoDB (multi-tenant), vector databases (for RAG)
• Frontend: React, TypeScript, Redux/Context API, Apache ECharts, D3.js
• DevOps: CI/CD pipelines (e.g., GitHub Actions), Docker, Kubernetes, AWS/Azure
• Testing: Pytest, Jest, Cypress
• Monitoring: Grafana, Prometheus
• Additional: WebSockets, ClickHouse, DuckDB (analytical databases)

• 8+ years of professional software development experience with deep backend expertise.
• 3+ years managing or leading a development team.
• Expert-level Python, Django, and FastAPI.
• Hands-on production experience building agentic systems with frameworks like CrewAI, including RAG, embeddings, and vector database integration.
• Strong SQL skills, including query optimization and NL-to-SQL implementation.
• Working knowledge of React/TypeScript and modern frontend state management.
• Deep expertise in PostgreSQL and MongoDB, including performance tuning, schema design, and multi-tenant considerations.
• Experience owning CI/CD and deployment pipelines.
• A track record of leading a team through delivery of a data-intensive production application.
• Nice-to-have: Experience with Apache ECharts, D3.js, AWS/Azure, Docker, Kubernetes, WebSocket systems, Jest/Cypress, Grafana/Prometheus, ClickHouse, DuckDB.

Competitive salary, health insurance, paid time off, professional development budget, and the opportunity to work on cutting-edge generative AI technology in a collaborative onsite environment.