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Senior AI & Future Systems Engineer - 2026 Tech Trends

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are looking for a visionary Senior AI & Future Systems Engineer to lead the architectural design of our 2026 technology roadmap. At Nexus Future Labs, we aren't just building software; we are architecting the infrastructure for the next generation of autonomous, intelligent systems.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering, specifically focusing on Agentic AI workflows, Large Language Models (LLMs), and ethical AI alignment. If you want to define the future of technology in the year 2026, this is your opportunity.

Why Join Us?

  • Work with cutting-edge tech stack including Rust, Python, and WebGPU.
  • Competitive equity package and top-tier medical benefits.
  • Flexible remote and hybrid work options in the heart of San Francisco.
  • Collaborate with a team of Ph.D. researchers and industry veterans.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure capable of supporting next-generation applications.
  • Lead research and development initiatives focused on Generative AI and Autonomous Agents for 2026 market readiness.
  • Optimize model inference latency and improve memory efficiency for edge and cloud deployment.
  • Establish best practices for data privacy, security, and ethical AI governance.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Collaborate with product managers to translate futuristic concepts into feasible engineering roadmaps.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in Machine Learning Engineering or AI Research.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Experience deploying Large Language Models (LLMs) and fine-tuning foundation models.
  • Strong understanding of distributed systems, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning LLM Generative AI PyTorch TensorFlow Kubernetes AWS Rust Ethics in AI

Ready to Take This Challenge?

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