[Remote] AI Fullstack Software Engineer-Intern
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
Company H1B Sponsorship