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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Full Stack Engineer

Nebula Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on a mission to redefine the digital landscape through next-generation Artificial Intelligence. As a Senior AI/ML Full Stack Engineer, you will be at the heart of our R&D division, architecting scalable solutions for Generative AI and Large Language Models (LLMs). If you are passionate about building the infrastructure that powers the future and want to lead innovation in the 2026 tech ecosystem, we want to hear from you.

Why Join Us?

  • Work with state-of-the-art tech stack including Python, Rust, and TypeScript.
  • Shape the ethical framework of autonomous AI agents.
  • Competitive equity package and remote-first flexibility.

Responsibilities

  • Architect Scalable AI Infrastructures: Design and implement high-performance backend systems optimized for LLM inference and fine-tuning workflows.
  • Develop Generative Interfaces: Build intuitive, high-latency frontend applications that bridge complex AI models with user experiences.
  • Optimize Vector Databases: Manage and tune vector embeddings for semantic search and RAG (Retrieval-Augmented Generation) pipelines.
  • MLOps & Deployment: Establish CI/CD pipelines for model deployment, ensuring continuous integration and model versioning.
  • AI Safety & Ethics: Collaborate with legal and ethics teams to mitigate bias and ensure safe AI deployment.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 5+ years of full-stack development experience with a focus on AI/ML applications.
  • Technical Proficiency: Deep expertise in Python, TensorFlow/PyTorch, and modern frontend frameworks (React, Vue, or Angular).
  • LLM Knowledge: Proven experience working with OpenAI API, LangChain, or similar LLM orchestration tools.
  • System Design: Strong understanding of distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).

Required Skills

Artificial Intelligence Machine Learning Full Stack Development Python React TypeScript LLM GenAI MLOps AWS System Design

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