Urgent Hiring_Java Full Stack Developer

Sigma Allied Services; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Sigma Allied Services seeks an AgentAI-Ready Full-Stack Developer to build enterprise applications leveraging AgentAI tools for accelerated coding, testing, and integration.

The role focuses on delivering robust, scalable software by integrating AI services, APIs, and modern front-end frameworks. You will collaborate with architects and AI specialists to ensure smooth adoption and high-quality delivery.

Qualifications

• Strong foundation in enterprise engineering, SDLC, and domain workflows.
• Experience using AI-assisted development tools (copilots, LLM-based coding assistants).
• Practical knowledge of AI concepts and limitations focus on integration, not model training.
• Ability to accelerate delivery without compromising quality.

Responsibilities

• Use AgentAI copilots and LLM tools for rapid coding, debugging, and documentation.
• Develop front-end and back-end components with seamless integration.
• Integrate pre-built AI services and APIs into applications implement RAG-based features where relevant.
• Combine AI-assisted productivity with engineering best practices to deliver robust, scalable solutions.
• Work closely with architects and AI-native specialists to ensure seamless integration and adoption.

Skills

Java Spring Boot

.NET C#

Python

React / Angular / Vue.js

TypeScript / JavaScript

SQL / NoSQL

Tools

REST/GraphQL APIs

Cloud-native development

CI/CD pipelines

Job description

AgentAI-Ready Full-Stack Developer

Build full-stack enterprise applications using AgentAI tools for accelerated coding, testing, and integration. Deliver immediate organizational value through productivity uplift and reduced reliance on scarce AI-native talent.

Key Responsibilities

• Use AgentAI copilots and LLM tools for rapid coding, debugging, and documentation.
• Develop front-end and back-end components with seamless integration.
• Integrate pre-built AI services and APIs into applications implement RAG-based features where relevant.
• Combine AI-assisted productivity with engineering best practices to deliver robust, scalable solutions.
• Work closely with architects and AI-native specialists to ensure seamless integration and adoption.

Must-Have Qualifications

• Strong foundation in enterprise engineering, SDLC, and domain workflows.
• Experience using AI-assisted development tools (copilots, LLM-based coding assistants).
• Practical knowledge of AI concepts and limitations focus on integration, not model training.
• Ability to accelerate delivery without compromising quality.

Programming & Full-Stack Skills

Backend (any 1 or more): Java (Spring Boot), .NET (C#), Python

Frontend: React / Angular / Vue.js, TypeScript / JavaScript

Additional: SQL/NoSQL, REST/GraphQL APIs, cloud-native development, CI/CD pipelines.