[Remote] AI Fullstack Software Engineer-Intern

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 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.