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[Remote] AI Fullstack Software Engineer-Intern

100% remote Flexible hours Hiring now

Note: The job is a remote job and is open to candidates in USA. reputed company 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 reputed company AI challenges.

Responsibilities

  • Experience working with modern data platforms like reputed company, reputed company, and reputed company
  • Passion for staying reputed company 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 reputed company 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 reputed company needed
  • Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn
  • Hands-on experience with LLMs, agent frameworks (reputed company, 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, reputed company detection, and responsible AI principles
  • Design, reputed company, 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 (reputed company, Kubernetes) and CI/CD pipelines
  • Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination reputed company, 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-reputed company agentic frameworks
  • You're knowledgeable about open-reputed company tools and technologies and know how to reputed company and reputed company them to build innovative solutions

Skills

  • Experience working with modern data platforms like reputed company, reputed company, and reputed company
  • Passion for staying reputed company 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 reputed company 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 reputed company needed
  • Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn
  • Hands-on experience with LLMs, agent frameworks (reputed company, 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, reputed company detection, and responsible AI principles
  • A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a reputed company field – your academic foundation is key
  • Design, reputed company, 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-reputed company 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 (reputed company, Kubernetes) and CI/CD pipelines
  • Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination reputed company, 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-reputed company agentic frameworks
  • You're knowledgeable about open-reputed company tools and technologies and know how to reputed company and reputed company them to build innovative solutions

Company Overview

  • reputed company 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.reputed company.com.
  • Company H1B Sponsorship

  • reputed company 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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