Full Stack AI Engineer

Overview

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Full Stack AI Engineer

Experience: 10+ Years

No. of Positions: 2

We are seeking a highly skilled Full Stack AI Engineer to join our team and work under the guidance of Principal Architect to develop and deploy LLM Agents. Agentic AI & Multi-Agent Frameworks. The ideal candidate will have 8-10 years of experience in software engineering, with a strong focus on AI/ML. This role requires excellent problem-solving capabilities and a strong execution mindset to drive the development and deployment of AI-powered solutions.

Responsibilities

• Collaborate with the Principal Architect to design and implement AI agents and multi-agent frameworks.
• Develop and maintain robust, scalable, and maintainable microservices architectures.
• Ensure seamless integration of AI agents , MCP Servers with core systems and databases.
• Develop APIs and SDKs for internal and external consumption.
• Work closely with data scientists to fine-tune and optimize LLMs for specific tasks and domains.
• Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking.
• Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability.
• Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications.
• Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services.
• Design and implement data pipelines for efficient data ingestion, transformation, and storage.
• Ensure data quality and security throughout the data lifecycle.
• Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning.
  
  

• 8-10 years of experience in software engineering with a strong focus on AI/ML.
• Proficiency in frontend frameworks like React, Angular, or Vue.js.
• Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Proven ability to design and implement complex, scalable, and maintainable architectures.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Passion for continuous learning and staying up to date with the latest advancements in AI/ML.
• End-to-end experience with at least one full AI stack on Azure, AWS, or GCP, including components such as Azure Machine Learning, AWS SageMaker, or Google AI Platform.
• Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc.
• Experience with databases such as MongoDB, PostgreSQL, or similar technologies for efficient data management and integration.
  
  

• Successfully led the development and deployment of an AI-powered recommendation system using AWS SageMaker, integrating it with a Node.js backend and a React frontend.
• Designed and implemented a real-time fraud detection system on Azure, utilizing Azure Machine Learning for model training and Kubernetes for container orchestration.
• Developed a chatbot using Google AI Platform, integrating it with a Django backend and deploying it on GCP, ensuring seamless interaction with MongoDB for data storage.
  
  

 :  Information Technology & Services

Location: Vadodara/Ahmedabad/Indore

Employment Type : Full-time

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