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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Product Engineer

Nexus Future Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Nexus Future Solutions is seeking a visionary Senior AI Product Engineer to lead the development of next-generation artificial intelligence systems. We are building the infrastructure that will define the landscape of technology in 2025 and beyond. In this role, you will bridge the gap between cutting-edge research and scalable production engineering, ensuring our AI solutions are robust, efficient, and transformative.

Join a diverse team of world-class engineers, designers, and product strategists committed to pushing the boundaries of what's possible. We offer a competitive benefits package, including remote work flexibility, comprehensive health coverage, and equity opportunities.

Why Join Us?

  • Work on high-impact projects that shape the future of tech.
  • Competitive salary and equity package.
  • Professional development and learning stipends.
  • Culture of innovation and inclusivity.

Responsibilities

  • Architect and implement scalable machine learning pipelines and production models.
  • Collaborate with product managers and data scientists to define AI requirements and success metrics.
  • Optimize model inference latency and cost-effectiveness for real-time applications.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Stay abreast of the latest research in deep learning and NLP to integrate state-of-the-art techniques.
  • Ensure data privacy, security, and compliance in all AI deployments.

Qualifications

  • 5+ years of experience in software engineering, with at least 3 years specializing in AI/ML.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Experience deploying models to cloud environments (AWS, GCP, or Azure).
  • Strong understanding of MLOps principles, CI/CD, and containerization (Docker/Kubernetes).
  • BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.
  • Proven track record of delivering complex technical projects on time.

Required Skills

Python PyTorch TensorFlow AWS MLOps Docker Kubernetes Machine Learning Deep Learning Natural Language Processing SQL

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