Job highlights

- Full-Stack Proficiency: Strong hands-on experience with React / TypeScript frontend AND backend development in one or more of: Python (FastAPI),Node.js,Java,Golang,or C++. AI-Native Builder: Demonstrated ability to build applications using LLM APIs(Claude,GPT) and AI-assisted coding tools (Cursor,Copilot,Claude Code)
- Required Skills

Job Summary

As a Senior Full Stack AI Engineer at JazzX AI, you will play a pivotal role in designing, building, and enhancing innovative, high-performance AI-driven solutions. Youll work closely with cross-functional teams - AI/research engineers, software engineers, architects, product managers, and designers - to translate complex platform and product requirements into elegant, scalable, and modular AI,software, and infrastructure components. Youll independently build end-to-end applications - from pixel-perfect frontend to robust backend services and AI agent integrations. You thrive in a fast-moving environment where you leverage AI tools (Cursor, Claude Code, Copilot) and vibe coding to rapidly prototype, build, and ship production-grade features. You dont just use AI - you build with it and build on top of it.

Senior Full Stack AI Engineer

- Drive architecture decisions for new features and services end to end
- Lead the design and development of high-performance, scalable services using a cloud-first approach
- Build and ship complex, multi-service features with minimal oversight
- Mentor engineers and foster their growth and development, elevating team velocity through tooling and best practices
- Design scalable patterns for AI agent orchestration, data pipelines, and micro-frontends
- Champion DevOps and AIOps best practices for AI services,



including robust monitoring and alerting strategies, observability, privacy, and security
- Lead technical planning and shape the teams AI-native development culture
- Typically 5-8+ years of relevant experience with demonstrated technical leadership

What Youll Build

AI-Powered Applications: End-to-end products combining LLM agents, document intelligence, and knowledge graphs to automate complex enterprise workflows

Intelligent Frontends:

Rich, responsive React/TypeScript UIs with real-time streaming, document viewers, code editors, and interactive data visualizations

Backend Services:

High-performance, scalable microservices (Python/FastAPI, Node.js, or Java) with async patterns, event-driven architectures (Kafka, Celery), and robust API layers - using a cloud-first, cloud-agnostic approach

AI Agent Pipelines:

LLM orchestration using Lang Chain/Lang Graph, MCP integrations, and custom agent frameworks that reason over structured and unstructured data

Data & Search Systems:

Semantic search with pgvector embeddings, knowledge graphs (Neo4j), and intelligent document processing pipelines

Platform Infrastructure:

Ensure platform scalability, reliability, security, privacy, and operability across all services. Implement robust monitoring and alerting strategies

Tech Stack

Frontend React 18, TypeScript, Vite, Material UI, MobX/Redux, D3,



Monaco Editor,Module Federation (micro-frontends)

Backend

Python 3.11+ (FastAPI, SQLModel/SQLAlchemy), Node.js, Java, Celery,Kafka, Redis, WebSockets

AI / LLM

Anthropic Claude, OpenAI GPT, LangChain, LangGraph, LlamaIndex,MCP, Azure Document Intelligence, Custom Agent Frameworks

Data

PostgreSQL, pgvector, Neo4j, Redis, SPARQL, Pydantic

Cloud & Infra

Azure (Storage, Monitor, Identity), AWS (S3, boto3), Docker, Kubernetes,Terraform/Ansible, OpenTelemetry, GitHub Actions

Dev Tooling

Cursor, Claude Code, Copilot, Poetry, Ruff, pytest, Vitest, Storybook, Pre-commit

Required Skills

- Full-Stack Proficiency: Strong hands-on experience with React/TypeScript frontend AND backend development in one or more of: Python (FastAPI), Node.js, Java, Golang, or C++
- AI-Native Builder: Demonstrated ability to build applications using LLM APIs(Claude, GPT) and AI-assisted coding tools (Cursor, Copilot, Claude Code). Familiarity with up-to-date GenAI/LLM services and AI agent frameworks like LangChain, LlamaIndex is highly desired
- End-to-End Ownership: Comfortable going from idea prototype production across UI, API, database, and deployment
- Cloud-Native Mindset: Strong understanding of cloud-native architectures, containers, and orchestration systems (Docker, Kubernetes). Familiarity with AWS, Azure, or GCP and Infrastructure as Code (Terraform, Ansible) is a plus

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Staff Fullstack Engineer (Bengaluru)
🏢 JazzX AI
📍 Bengaluru