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Senior AI/ML Engineer - Future Tech 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

The Future of Intelligence is Here.

Nexus Future Systems is pioneering the next generation of artificial intelligence, preparing infrastructure for the technological landscape of 2026 and beyond. We are looking for a visionary Senior AI/ML Engineer to lead the development of scalable, agentic AI systems that redefine human-computer interaction. If you want to build the foundation for the AI of tomorrow, this is your opportunity.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Model (LLM) architectures.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium benefits.

We are not just building software; we are architecting the future.

Responsibilities

  • Design, train, and fine-tune large-scale foundation models using PyTorch and TensorFlow.
  • Develop and optimize inference pipelines to handle high-throughput, low-latency requirements.
  • Collaborate with cross-functional teams to integrate AI agents into real-world applications.
  • Research and implement state-of-the-art techniques in Natural Language Processing (NLP) and Computer Vision.
  • Mentor junior engineers and establish best practices for MLOps and model governance.
  • Ensure the security, privacy, and ethical deployment of AI systems.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in AI/ML engineering, specifically with deep learning frameworks.
  • Expert proficiency in Python, with proven experience in C++ for high-performance computing.
  • Strong background in Transformer architectures, LLMs (GPT, BERT, Llama), and RAG pipelines.
  • Experience deploying models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
  • Deep understanding of MLOps tools (MLflow, Kubeflow) and data engineering principles.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM MLOps Docker Kubernetes AWS Generative AI Data Science SQL

Ready to Take This Challenge?

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

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