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Staff Fullstack Engineer

JazzX AI

Full time
Experience
5–8 years
Location
Bangalore
Work mode
Not stated
Salary
₹15L – ₹25L a year estimatetypical for IT Jobs in Bangalore, 263 posts
Posted 9 days ago

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Role at a glance

You will
  • As a Senior Full Stack AI Engineer at JazzX AI, you will play a pivotal role in designing, building, and enhancing innovative…
  • You'll work closely with cross-functional teams — AI/research engineers, software engineers, architects, product managers, and designers —…
  • You'll independently build end-to-end applications — from pixel-perfect frontend to robust backend services and AI agent integrations.
Experience
5–8 years
Education
Bachelor's degree
Must-have skills
C++CI/CDDockerFastAPIGitGo

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Job description

About JazzX AI: Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done. We believe enterprises don't scale expertise—they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that.

JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option. We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries. This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes—not demos, not chatbots—JazzX AI is the place. About SAIGroup : SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup’s portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one.

The Role

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.

You'll 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 don’t 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 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

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

Our 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 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

Async & Event-Driven Patterns:

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

Modern Dev Practices:

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

Nice to Have

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 Join JazzX AI:

What draws people to JazzX AI is the opportunity to build something truly foundational.

We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.

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. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.

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.

Headquartered in Los Altos, CA. Backed by SAIGroup.

Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai

Learn more about SAIGroup:
Website: https://saigroup.ai

Key skills

Required

C++CI/CDDockerFastAPIGitGoJavaKafkaKubernetesNode.jsPostgreSQLPrompt EngineeringPyTestPythonReactRedisSQLTypeScript

Preferred

AWSAnsibleGoogle Cloud Platform (GCP)Microsoft AzureTerraform

Job market insights

377active C++ jobs in Bangalore
1,055active CI/CD jobs in Bangalore
565active Docker jobs in Bangalore
₹15L – ₹25L advertised yearly salary for IT Jobs in Bangalore (middle half of 263 posts that show a salary; median ₹19L)

Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 4026 that say).

Hiring most for IT Jobs in Bangalore

  • Bosch Group176 open jobs
  • Trigent Software Private Limited138 open jobs
  • Brillio117 open jobs

Jobs asking for C++ in Bangalore also ask for

  • Python68%
  • Java39%
  • Linux30%
  • C16%
  • Kubernetes15%

From live job posts on CoreHRx, updated 12 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Staff Fullstack Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 263 posts).

How much experience does this job need?

The post asks for 5–8 Yrs experience.

Where is this job based?

In Bangalore.

What kind of job is this?

It is a full time job.

This guide is for Indian job seekers preparing for Java backend roles, from freshers facing campus and first-job interviews to experienced developers moving into senior positions at product companies and IT services firms. It covers what interviewers ask most in 2025 and 2026 on Java 17 and 21 and Spring Boot 3: OOP, collections, equals and hashCode, streams, exceptions, concurrency and JVM memory, then dependency injection, auto-configuration, REST controllers, validation, JPA and Hibernate, security, microservices and testing. Questions are grouped as easy, medium and hard. Read each answer, compile the code yourself and practise explaining it aloud.

Questions you may be asked

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  2. What is the difference between an abstract class and an interface in Java?
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