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Teradata Logo Teradata · IT - Software Development

Staff AI Engineer - Agentic AI Systems

India, Bengaluru, Karnataka, India | Hyderabad, Telangana, India | Pune, Maharashtra, India · Job Posted May 03, 2026
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Job Description

As a Staff AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI stack especially Agentic Systems. You will work in a technically rich environment with talented peers, contributing to product strategy, architecture, and execution while influencing the evolution of Teradata’s AI capabilities.

Job Responsibility

  • Design, architect, 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 architecture 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, architecture, 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
  • 8+ years of experience in backend services, distributed systems, or data platform development
  • Strong proficiency in Java, Go, or Python for service development
  • Deep understanding of design principles, distributed system patterns, and service architecture
  • 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 architecture 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
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