AI Full Stack Engineer

Job Type: On-Site, No Remote Work

Timings: 6:00PM - 3:00AM (It is a night shift job)

Role Overview

We are looking for an AI Full Stack Engineer who can bridge the gap between AI model development and production-grade software systems. The ideal candidate will have strong experience in LLM fine-tuning, RAG pipelines, data preparation, AI integrations, API development, and full-stack engineering.

This role is primarily focused on building, integrating, and deploying AI-powered solutions, with supporting full-stack development responsibilities

Key Responsibilities

AI & Machine Learning Engineering

• Fine-tune and optimize Large Language Models (LLMs) for domain-specific applications.
• Design, develop, and maintain Retrieval-Augmented Generation (RAG) pipelines for AI-powered search and knowledge-based systems.
• Work with embeddings, vector databases, document processing, and retrieval strategies to improve AI response accuracy.
• Collect, clean, preprocess, and refine datasets for training and fine-tuning workflows.
• Perform data extraction, transformation, annotation, validation, and quality improvement.
• Build AI workflows involving prompt engineering, model evaluation, and continuous optimization.
• Integrate AI models into production applications using APIs and scalable architectures.
• Monitor model performance and improve reliability, latency, and output quality.

Backend & AI API Development

• Develop and integrate custom APIs for AI-driven applications.
• Build scalable backend services to support AI features and workflows.
• Manage data pipelines, databases, and communication between AI services and applications.
• Implement secure authentication, authorization, and API best practices.

Full Stack Development

• Develop and maintain web applications with modern frontend and backend technologies.
• Build user interfaces for AI-powered features and integrate them with backend services.
• Collaborate with engineering teams to deliver complete end-to-end solutions.

DevOps & Deployment

• Build and maintain CI/CD pipelines for automated testing and deployment.
• Containerize applications using Docker and deploy AI services to cloud environments.
• Monitor, optimize, and maintain production AI applications.

Required Skills & Experience

• Strong programming skills in Python and experience with AI/ML development.
• Hands-on experience with:
• LLM fine-tuning
• RAG architectures
• Embeddings and vector databases
• Prompt engineering and AI evaluation
• Experience preparing and managing datasets for AI training and fine-tuning.
• Experience integrating AI models through APIs.
• Backend development experience (REST APIs, databases, authentication).
• Experience with frontend technologies such as React.js / Next.js.
• Experience with Git, Docker, CI/CD pipelines, and cloud deployments.
• Preferred Qualifications
• Experience with AI frameworks/tools such as:
• OpenAI APIs
• Hugging Face ecosystem
• LangChain
• Experience with vector databases and AI search systems.
• Experience deploying and monitoring AI models in production environments.

Ideal Candidate

Someone who can take an AI idea from concept to production — including data preparation, model fine-tuning, RAG implementation, API development, and full-stack deployment.

Pay: Rs45,000.00 - Rs70,000.00 per month

Work Location: In person