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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - The 2026 Initiative

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technology landscape of 2026? Nexus Horizon is seeking a visionary Senior AI Research Engineer to lead our cutting-edge generative AI initiatives. You will be at the forefront of developing next-generation Large Language Models (LLMs) and autonomous AI agents that will redefine human-machine interaction.

In this high-impact role, you will work in a state-of-the-art environment, collaborating with top-tier talent to solve complex challenges in reasoning, memory, and multimodal processing. If you are passionate about the future of artificial intelligence and want to build systems that think, learn, and adapt, we want to hear from you.

Why Join Us?

  • Work on projects that will shape the AI paradigm for the next decade.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with premium office amenities in the SF Bay Area.

Responsibilities

  • Architect and train state-of-the-art Large Language Models (LLMs) and autonomous AI agents.
  • Optimize inference pipelines for low-latency, high-throughput deployment on cloud infrastructure (AWS/GCP).
  • Research novel techniques in prompt engineering, fine-tuning (LoRA, QLoRA), and reinforcement learning from human feedback (RLHF).
  • Implement robust evaluation frameworks to measure model performance against industry benchmarks.
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise products.
  • Stay ahead of the curve by publishing research and contributing to open-source AI communities.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML, with a specific focus on Deep Learning frameworks.
  • Extensive experience with Python, PyTorch, and TensorFlow.
  • Strong proficiency in NLP, transformers, and LLM fine-tuning methodologies.
  • Experience with vector databases (Pinecone, Milvus) and Retrieval-Augmented Generation (RAG) architectures.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP Large Language Models LLM AI Agents RAG Vector Databases GPT-4 Reinforcement Learning Cloud Computing AWS

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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