Job Title: Full Stack AI Engineer

Summary: 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 tracking1.
Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability2.
Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications3.
Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services3.
Design and implement data pipelines for efficient data ingestion, transformation, and storage4.
Ensure data quality and security throughout the data lifecycle5.
Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning.

Qualifications

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 Platform3.
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.

Illustrative Projects You May Have Worked On

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 G

DGM - Full Stack AI Engineer / Sr.Architect