Teradata · 2 weeks ago
AI Fullstack Software Engineer-Intern
United States
Internship
Remote
Intern
$29/hr - $50/hrTeradata 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.
AnalyticsBusiness IntelligenceCloud Data ServicesCloud StorageData GovernanceData ManagementMarketingPrivate CloudSaaSSoftware
Hiring Manager
Scott Keeton
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
Qualification
Required
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
Preferred
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
Teradata
Teradata is the connected multi-cloud data platform company. Our enterprise analytics solve business challenges from start to scale.
Founded in 1979
10001+ employees
H1B Sponsorship
Teradata has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (31)
2023 (15)
2022 (27)
2021 (34)
2020 (12)
Funding
Current Stage
Public CompanyTotal Funding
unknown2007-09-21IPO
Leadership Team
Michael Koehler
President & CEO
Louis Landry
Chief Technology Officer
Recent News
2026-01-06
2025-12-04
Company data provided by crunchbase