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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Integration Engineer (2026 Tech Stack) - San Francisco

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Integration Engineer to architect the infrastructure for our next-generation AI platform. If you are passionate about the future of technology and want to define the 2026 Tech Stack, this is your opportunity to lead high-impact projects at Nexus Future Labs.

In this role, you will bridge the gap between cutting-edge research and production-grade applications, ensuring our AI models are scalable, efficient, and ready for the demands of the future.

Why Join Us?

  • Shape the Future: Work on the foundational technologies that will define AI integration in 2026 and beyond.
  • Competitive Compensation: We offer a salary range of $180k - $260k plus equity and comprehensive benefits.
  • Modern Environment: Work with a team of elite engineers in the heart of San Francisco.

Responsibilities

  • Architect and deploy scalable Large Language Model (LLM) pipelines optimized for the 2026 enterprise standard.
  • Collaborate with data scientists to fine-tune models and improve inference latency in real-time applications.
  • Design robust APIs and microservices architecture to integrate AI capabilities into legacy systems.
  • Implement best practices for MLOps, including CI/CD, version control, and automated testing.
  • Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Stay ahead of emerging AI trends to ensure our stack remains competitive and future-proof.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in software engineering, with at least 2 years specifically in AI/ML integration.
  • Deep expertise in Python, PyTorch, or TensorFlow, and familiarity with the 2026 standard AI frameworks.
  • Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Machine Learning AI Integration TensorFlow PyTorch AWS Kubernetes Docker MLOps San Francisco CA

Ready to Take This Challenge?

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