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Lead AI Engineer (2026 Roadmap)

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

Job Description

Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Lead AI Engineer to spearhead our next-generation generative intelligence systems.

As a pivotal member of our Research & Development team, you will architect scalable AI solutions, mentor a team of top-tier engineers, and drive the strategic vision for our 2026 product roadmap. We are looking for a thought leader who thrives on solving complex problems at the intersection of machine learning and real-world application.

Why Join Nexus Future Labs?

  • Work on cutting-edge Large Language Models (LLMs) and autonomous agents.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with a focus on innovation.

Responsibilities

  • Design and implement robust, scalable AI architectures for large-scale production deployments.
  • Lead the technical strategy for the 2026 roadmap, identifying emerging trends in Neural Networks and Deep Learning.
  • Mentor junior engineers and conduct rigorous code reviews to ensure engineering excellence.
  • Collaborate with product managers to translate complex AI concepts into intuitive user experiences.
  • Optimize model performance, reduce latency, and ensure high availability of AI services.
  • Stay ahead of the curve by researching and integrating state-of-the-art algorithms.

Qualifications

  • 10+ years of experience in software engineering and data science, with at least 5 years in a lead technical role.
  • Strong proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
  • Deep understanding of Generative AI, NLP, and Computer Vision.
  • Experience leading cross-functional teams in a fast-paced, agile startup environment.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field is highly preferred.
  • Proven track record of deploying machine learning models to cloud infrastructure (AWS/GCP).

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP Generative AI AWS Kubernetes Leadership

Ready to Take This Challenge?

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