DGM - Full Stack AI Engineer / Sr.Architect

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