Job Title: Full Stack AI Architect
Exp: 10yrs+
Location: Hyderabad/Chennai
Summary: We are seeking a highly skilled Full Stack AI Architect to join our team and work under the guidance of Principal Architect to develop and deploy LLM Agents & Multi-Agent Frameworks. The ideal candidate will have 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:
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Collaborate with the Principal Architect to design and implement AI agents and multi-agent frameworks.
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Develop and maintain robust, scalable, and maintainable microservices architectures.
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Ensure seamless integration of AI agents with core systems and databases.
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Develop APIs and SDKs for internal and external consumption.
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Work closely with data scientists to fine-tune and optimize LLMs for specific tasks and domains.
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Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking1.
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Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability2.
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Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications3.
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Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services3.
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Design and implement data pipelines for efficient data ingestion, transformation, and storage4.
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Ensure data quality and security throughout the data lifecycle5.
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Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning.
Qualifications:
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10+ years of experience in software engineering with a strong focus on AI/ML.
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Proficiency in frontend frameworks like React, Angular, or Vue.js.
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Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java.
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Experience with cloud platforms such as AWS, Azure, or GCP.
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Proven ability to design and implement complex, scalable, and maintainable architectures.
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Excellent problem-solving and analytical skills.
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Strong communication and collaboration skills.
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Passion for continuous learning and staying up to date with the latest advancements in AI/ML.
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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.
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Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc.
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Experience with databases such as MongoDB, PostgreSQL, or similar technologies for efficient data management and integration.
Illustrative Projects you may have worked on:
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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.
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Designed and implemented a real-time fraud detection system on Azure, utilizing Azure Machine Learning for model training and Kubernetes for container orchestration.
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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