Role Overview

We are looking for an AI SDLC Engineer to help build and scale enterprise-grade AI applications and platforms. The ideal candidate will have strong full-stack development experience along with hands-on exposure to AI application development, LLM integration, AI development lifecycle (AI SDLC), and modern software engineering practices.

Key Responsibilities

Design, develop, and deploy AI-powered applications and services.
Build and maintain scalable full-stack solutions using ReactJS and backend technologies.
Integrate Large Language Models (LLMs) into enterprise workflows and products.
Develop and optimize AI SDLC processes including evaluation, monitoring, deployment, and governance.
Implement Context Engineering and Model Context Protocol (MCP) based solutions.
Build microservices-based architectures and APIs.
Design and manage CI/CD pipelines for AI and software applications.
Collaborate with cross-functional teams to deliver production-ready AI solutions.
Ensure reliability, scalability, security, and performance of AI systems.

Requirements

Strong experience in ReactJS.
Proficiency in Java, Python, and/or Kotlin.
Experience with LLM integration and AI application development.
Hands-on exposure to AI SDLC concepts and best practices.
Understanding of MCP (Model Context Protocol) and Context Engineering.
Experience with Microservices architecture.
Strong knowledge of CI/CD pipelines and DevOps practices.
Experience building enterprise-scale applications and APIs.
Familiarity with cloud platforms such as AWS, Azure, or GCP.

Preferred Qualifications

Experience with Agentic AI systems.
Exposure to RAG, vector databases, prompt engineering, and AI observability.
Experience working in Agile product development environments.

Experience Requirement

4–8+ years of overall software engineering experience.
Minimum 3 years of hands-on experience in AI/Agentic AI-related projects.