Senior AI Engineer

As a Senior AI Engineer, you will be a key contributor to our internal engineering AI initiatives, designing and building agent-based AI solutions that significantly enhance developer productivity across the organization. You will work on AI agents and platforms across Software Development Lifecycle and design them to be scalable, reusable, and marketplace-ready for broader adoption. You will be part of a high-performing engineering team building core components of Teradata's AI platform.

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

Requirements

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

Nice to have

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

Benefits

Flexible work model; Focus on well-being; People-first culture