Note: The job is a remote job and is open to candidates in USA. Teradata is a company focused on unleashing the full potential of data through its ClearScape Analytics™ platform. The AI Fullstack Software Engineer-Intern will work on designing and deploying advanced AI agents that integrate with business operations, collaborating with a high-caliber team to tackle complex AI challenges.
Responsibilities
- Experience working with modern data platforms like Teradata, Snowflake, and Databricks
- Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems
- You are an excellent full stack engineer who codes daily and owns systems end-to-end
- Build intuitive UI with user-friendly natural language interfaces (e. g. , chatbots, AI assistants) to allow users to interact with the data platform using natural language queries
- Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
- Strong system design skills and understanding of distributed systems
- You’re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed
- 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
- Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models)
- Solid understanding of model performance monitoring, drift detection, and responsible AI principles
- Design, develop, and deploy agentic systems integrated into the data platform
- Familiarity with backend service development, APIs, and distributed systems
- Interest or experience in LLMs, autonomous agents, or AI tooling
- Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines
- Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes
- Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines
- Bonus: Research experience or contributions to open-source agentic frameworks
- You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions
Skills
- Experience working with modern data platforms like Teradata, Snowflake, and Databricks
- Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems
- You are an excellent full stack engineer who codes daily and owns systems end-to-end
- Build intuitive UI with user-friendly natural language interfaces (e. g. , chatbots, AI assistants) to allow users to interact with the data platform using natural language queries
- Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
- Strong system design skills and understanding of distributed systems
- You're obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed
- 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
- Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models)
- Solid understanding of model performance monitoring, drift detection, and responsible AI principles
- A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key
- Design, develop, and deploy agentic systems integrated into the data platform
- 3+ years of experience in software architecture, backend systems, or AI infrastructure
- Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable
- Passion for building safe, human-aligned autonomous systems
- Experience in software development (Python, Go, or Java preferred)
- Familiarity with backend service development, APIs, and distributed systems
- Interest or experience in LLMs, autonomous agents, or AI tooling
- Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines
- Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes
- Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines
- A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge!
- UI/UX Development: Proficiency in JavaScript frameworks (React. js, Vue. js, Angular) and CSS libraries (Bootstrap, Material-UI)
- Bonus: Research experience or contributions to open-source agentic frameworks
- You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions
Company Overview
Teradata is the connected multi-cloud data platform company. Our enterprise analytics solve business challenges from start to scale. It was founded in 1979, and is headquartered in San Diego, California, USA, with a workforce of 10001+ employees. Its website is https://www.teradata.com.Company H1B Sponsorship
Teradata has a track record of offering H1B sponsorships, with 8 in 2025, 31 in 2024, 15 in 2023, 27 in 2022, 34 in 2021, 12 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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