Senior Fullstack Engineer

JazzX AI

Bengaluru

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+
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Job summary

JazzX AI in Bengaluru is seeking a Senior Full Stack AI Engineer to lead the design and development of high-performance AI-driven solutions. You'll work with cross-functional teams to translate complex requirements into scalable components, ensuring platform scalability, reliability, and security.

This role offers the chance to work with advanced technologies like React, Python, and AI APIs in a dynamic and collaborative environment. If you're motivated by impactful software development, join us in shaping the future of enterprise work.

Qualifications

  • 5–8+ years of software development experience, with 2 years in a senior role.
  • Strong understanding of cloud-native frameworks and orchestration systems.
  • Ability to build applications using LLM APIs and AI-assisted coding tools.

Responsibilities

  • Drive architecture decisions for new features and services end to end.
  • Lead design of high-performance, scalable AI services.
  • Mentor engineers fostering growth and best practices.

Skills

React/TypeScript frontend development
Python (FastAPI)
Node.js
Java
Golang
C++
Cloud-native architectures
Database Fluency (PostgreSQL)
AI APIs (Claude, GPT)
DevOps best practices

Education

Bachelor's or Master's degree in Computer Science

Tools

FastAPI
Java
Docker
Kubernetes
Redis
Kafka

Job description

Vision

Enterprises operating on institutional intelligence—governed, self‑improving, and scalable beyond individual expertise.

About JazzX AI

JazzX AI is defining the future of enterprise work—by building AI‑native digital workers that actually get the job done.

Senior Full Stack AI Engineer

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. You'll 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.

  • 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 team's AI‑native development culture
  • Typically 5–8+ years of relevant experience with demonstrated technical leadership
What You'll Build

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

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

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.

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

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.

Frontend & Backend Stack

React 18, TypeScript, Vite, Material UI, MobX/Redux, D3, Monaco Editor, Module Federation (micro‑frontends).

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

PostgreSQL, pgvector, Neo4j, Redis, SPARQL, Pydantic.

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

Required Skills

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 modern GenAI/LLM services and AI agent frameworks like Lang Chain, 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. Experience with async patterns, task queues (Celery), message brokers (Kafka/Redis).

Database Fluency

Solid SQL skills (PostgreSQL), experience with ORMs (SQLAlchemy/SQLModel), and exposure to vector databases or graph databases. Git workflows, CI/CD, Docker, automated testing (pytest, Vitest), code review culture. Champion innovative software design patterns and advocate for best‑in‑class observability, security, and privacy practices.

Vibe Coding Mindset

You actively use AI to accelerate development—prompt engineering, code generation, and iterative refinement are part of your daily flow.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. Equivalent experience also considered.
  • 5–8+ years of software development experience, with at least 2 years in senior or lead engineering role.
  • A naturally curious attitude with a proactive approach to learning, experimenting, building, and improving.
Why JazzX AI?

We are at the beginning of a new era where enterprise systems will no longer be static tools but dynamic collaborators that learn, reason, and evolve alongside the people who use them.

JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human‑aligned systems that enterprises can trust and rely on at scale.

If you’re motivated by building systems that matter—systems that combine intelligence with responsibility—JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.

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