Full Stack AI Engineer

Shapoorji Pallonji Finance Private Limited; Mumbai; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Shapoorji Pallonji Finance Private Limited is seeking seasoned Full Stack Engineers to design, build, and maintain scalable enterprise web applications. You will work across backend and frontend, with a strong emphasis on integrating AI/LLM capabilities into production-grade software.

The role requires hands-on experience with AI technologies, vector databases, and secure, high-performance systems. Collaboration with Product, AI, QA, and Design teams is critical for delivering robust solutions.

Qualifications

• Hands-on experience with AI technologies and LLM integrations is mandatory.
• Experience building production-grade web apps across backend and frontend.
• Ability to own modules end-to-end and deliver high-quality code with minimal supervision.

Responsibilities

• Design, build, and maintain scalable enterprise web applications.
• Develop robust APIs, backend services, and modern user interfaces.
• Integrate AI/LLM capabilities into enterprise products and workflows.
• Ensure secure, high-performance systems with strong scalability.
• Collaborate with Product, AI, QA, and Design teams throughout the lifecycle.
• Contribute to CI/CD, observability, and performance optimization.

Skills

Full Stack

Backend Engineering

Frontend Engineering

AI/LLM Integrations

REST APIs

CI/CD

Security & RBAC

Node.js

React.js

TypeScript

Education

B.Tech / BE in Computer Science

Tools

Docker

Kubernetes

PostgreSQL

Neo4j

PgVector / Vector DBs

Git

Job description

SU:CH AI (part of Shapoorji Pallonji Group) is building AI-powered enterprise platforms across Tax Technology, Compliance, Financial Services, and Enterprise Intelligence.

We are looking for highly skilled Full Stack Engineers with strong expertise in either backend or frontend development, while being comfortable working across the full stack when required.

Hands-on experience with AI technologies, LLM integrations, AI agents, RAG architectures, vector databases, or AI-enabled applications is mandatory.

You will work closely with Product, AI, Design, and Engineering teams to build scalable, secure, and high-performance enterprise applications used by customers in production environments.

Key Responsibilities

• Design, build, and maintain scalable enterprise-grade web applications.
• Develop robust APIs, backend services, and modern user interfaces.
• Integrate AI/LLM capabilities into enterprise products and workflows.
• Design secure, reliable, and high-performance systems with a strong focus on scalability.
• Build and optimize databases, application performance, and system reliability.
• Implement authentication, authorization, and enterprise security controls.
• Collaborate closely with Product, AI, QA, and Design teams throughout the product lifecycle.
• Participate in architecture discussions, code reviews, testing, deployment, and production support.
• Contribute to engineering best practices, CI/CD automation, observability, and performance optimization.

Backend-Heavy Full Stack Engineer

Core Skills

• Node.js
• Express.js
• REST APIs & Microservices

Databases

• Redis
• Neo4j
• Vector Databases (PgVector, Pinecone, Weaviate, ChromaDB, or equivalent)

Security & Identity

• OAuth 2.0 / OpenID Connect (OIDC)
• Role-Based Access Control (RBAC)
• Microsoft Graph API

DevOps & Deployment

• Docker & Docker Compose
• Jenkins CI/CD
• Performance Optimization

AI Technologies (Mandatory)

• AI Agents & Workflow Automation
• Vector Search & Embeddings
• AI-powered backend workflows

Frontend-Heavy Full Stack Engineer

Core Skills

Frontend Development

• React.js
• Next.js
• TypeScript
• MUI / Materio
• Responsive and Mobile-First Design
• State Management
• Real-Time User Interfaces
• Frontend Performance Optimization

Backend Familiarity

• Node.js & Express.js
• API Integrations

Security & Identity

• OAuth 2.0 / OIDC
• Microsoft Graph API

AI Technologies (Mandatory)

• AI-Powered User Experiences
• LLM Integrations
• Conversational Interfaces
• AI Copilots & Agent-Based Experiences
• Prompt-Oriented Application Development

Required Experience

• 5-10 years of hands-on experience in Full Stack Development.
• Strong expertise in either Backend Engineering or Frontend Engineering, with working knowledge of the full stack.
• Experience building, deploying, and maintaining production-grade applications used by internal or external users.
• Demonstrated experience delivering features through the complete software development lifecycle, from design and development to deployment and production support.
• Strong understanding of software architecture, scalability, performance optimization, debugging, and application security.
• Hands-on experience building or integrating AI-powered features such as:
• LLM integrations
• RAG-based applications
• AI agents
• AI-powered search, workflows, or copilots
• Ability to independently own modules and deliver high-quality code with minimal supervision.

We are specifically looking for engineers who have worked on live production products, not solely on proofs of concept (PoCs), academic projects, hackathons, or experimental implementations.

Candidates should be able to demonstrate:

• Features they have personally built and deployed.
• Production challenges they have solved.
• Scalability, performance, and security considerations they have handled.
• Real business or customer impact of their work.

Experience limited to AI experimentation, prompt usage, or personal AI projects without production implementation will not be considered sufficient.

Nice to Have

• GraphQL
• LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or similar frameworks
• Experience building AI-native applications at scale
• Exposure to observability and monitoring platforms

What We Value

• Product mindset and ownership.
• Ability to thrive in a fast-paced startup environment.
• Passion for AI and emerging technologies.
• High accountability and execution focus.