Senior AI Engineer

Teradata Group; Bengaluru; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Teradata Bengaluru is seeking a Senior AI Engineer to design and build agent-based AI solutions that boost developer productivity. You will create scalable, reusable AI components, and prepare them for marketplace adoption.

You will collaborate with platform, product, and engineering teams to shape the future of our developer-facing AI capabilities, delivering robust APIs and data models.

Qualifications

• Bachelor's degree in Computer Science or equivalent.
• 5+ years of backend services, distributed systems, or data platform development.
• Strong proficiency in Java, Go, or Python for service development.
• Understanding of distributed system patterns and service framework.
• Experience with RESTful APIs design.
• Experience with SQL and NoSQL databases and data modelling.
• Strong debugging, problem solving, and troubleshooting skills.
• Experience with Kubernetes and cloud platforms.
• Knowledge of AI productivity tools (e.g., GitHub Copilot).
• Ability to work independently and deliver high quality outcomes.
• Strong communication and collaboration skills.

Responsibilities

• Design, develop, and maintain scalable, reliable, high-performance systems.
• Collaborate with cross-functional engineers and product partners to deliver end-to-end features.
• Build and integrate robust RESTful APIs with security and maintainability.
• Work with SQL and NoSQL databases to implement efficient data models.
• Apply and experiment with AI/ML technologies including agentic AI and LLMs.
• Use AI powered engineering tools to improve development quality and speed.
• Mentor engineers in planning, implementation, and best practices.
• Identify and resolve system performance bottlenecks in code and infra.
• Write unit and integration tests and participate in code reviews.
• Investigate production issues and ensure timely solutions.
• Stay current with emerging trends in engineering, AI/ML, and cloud-native tech.

Skills

Backend development

Distributed systems

Java Go Python

RESTful APIs

Data modeling

Kubernetes

Cloud platforms

AI tooling

Mentoring

Communication

Education

Bachelor's degree in Computer Science

Tools

Kafka

GitHub Copilot

Kubernetes

Job description

Our Company:

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You’ll Do

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 operate in a technically deep, fast-paced environment, collaborating closely with platform, product, and engineering teams to shape the future of our developer-facing AI capabilities.

In this role, you will:

• 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.

Who You’ll Work With

You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction.

What Makes You a Qualified Candidate

(Nonnegotiable qualifications)

• 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.

What You’ll Bring

(Preferred qualifications)

• 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.

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