Note: The job is a remote job and is open to candidates in USA. Teradata is a company that empowers organizations with better information through its Autonomous Knowledge Platform. As a Senior AI Engineer, you will design and build agent-based AI solutions to enhance developer productivity while collaborating with various teams to shape the future of Teradata's AI capabilities.

Responsibilities

• Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance
• Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
• Work with SQL and NoSQL databases to implement efficient data models and service access patterns
• Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
• Use AI powered engineering tools to improve development quality, speed, and productivity
• Mentor engineers, supporting them in technical planning, implementation, and best practices
• Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure
• Write unit and integration tests and participate in code reviews to uphold engineering excellence
• Investigate production issues, ensuring timely and effective solutions
• Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies

Skills

• Bachelor's degree in Computer Science or equivalent from a recognized institution
• 5+ years of experience in backend services, distributed systems, or data platform development
• Strong proficiency in Java, Go, or Python for service development
• Good understanding of design principles, distributed system patterns, and service framework
• Hands-on experience designing and developing RESTful APIs
• Experience with SQL and NoSQL databases and data modelling
• Strong debugging, problem solving, and troubleshooting skills
• Experience with modern containerization and orchestration tools such as Kubernetes
• Knowledge of public cloud platforms
• Experience with AI productivity tools (e.g., GitHub Copilot)
• Ability to work independently, drive workstreams, and deliver high quality outcomes
• Strong communication and collaboration skills
• Familiarity with messaging systems such as Kafka
• Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs
• A track record of influencing design decisions and driving engineering best practices
• The ability to mentor engineers and guide them through design, planning, and execution
• A proactive mindset and comfort working in fast paced, dynamic environments
• Curiosity, adaptability, and a passion for building impactful AI-driven products

Company Overview

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