AI Full Stack Engineer - AI Platform

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

We are looking for senior software engineers who will have front end responsibilities to deliver great customer with services to support the UI, developer and operational-user experiences for our Teradata Cloud Platform and ecosystem components. In this role, you will work closely with Cloud Services, Platform, and Infrastructure teams to gain a deeper understanding of different persona-based use-cases and drive development of feature-sets that provide administration, monitoring and operational capabilities in a self-service and managed offerings model in a multi-tenant console dashboard.

This role reports to the Senior Manager of engineering, User Platform team.

Key Responsibilities

Lead architecture and development of scalable full-stack systems, delivering high-quality customer-facing applications using React and modern JavaScript/TypeScript frameworks.

Design and build distributed backend services and APIs using Node.js, Java, or Python to support frontend applications and AI-powered capabilities.

Drive adoption of AI-assisted development workflows, including translating AI-generated prototypes into production-grade software and improving developer productivity through modern tooling.

Design and implement AI-powered features and agent-based systems, integrating LLM-driven capabilities into product experiences.

Lead system design for large-scale applications, ensuring performance, reliability, and maintainability across services and platforms.

Provide technical leadership across teams, mentoring engineers, guiding architectural decisions, and establishing best practices.

Partner with product, design, and cross-functional teams to rapidly prototype, iterate, and ship impactful features in a fast-paced environment.

Evaluate and integrate emerging technologies, particularly in AI, developer tooling, and platform capabilities

Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn

Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc.), and orchestration tools.

What Makes You A Qualified Candidate

4+ years of software engineering experience building large-scale applications.

Strong expertise in modern frontend development with React and JavaScript/TypeScript.

Experience building full-stack applications with scalable backend services.

Backend experience with Python, Go and Java

Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.

Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).

Demonstrated experience designing distributed systems and APIs.

Experience working in fast-paced product development environments.

Strong ability to lead technical initiatives across multiple teams.

What You'll Bring

Strong knowledge in writing Automated Test Suites using frameworks like Jasmine, Protractor, Mocha, Cypress, Jest, or Selenium

Good working knowledge on Java/Python and experience with development

Familiarity with TDD and concepts like mocking and stubbing for unit / integration tests.

Thrive in an environment that requires you to partner with multiple cross-functional teams as stakeholders/customers

A proactive and solution-oriented mindset with a passion for technology and continuous learning

Great oral and written communication skills

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