[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

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