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
私たちについて：
コグニザント（NASDAQ: CTSH）は、AI builderおよびテクノロジーサービスプロバイダとして、AI投資を企業価値へとつなげるフルスタックのAIソリューションを提供しています。業界、業務プロセス、エンジニアリングに関する深い専門性を強みに、各企業固有のコンテキストをテクノロジーシステムに組み込み、人の力を最大限に引き出すとともに、具体的な成果の創出と、急速に変化する世界におけるグローバル企業の競争力維持を支援します。詳しくは、当社ウェブサイト www.cognizant.com をご覧ください。
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