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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026 | Austin, TX

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are looking for a visionary Senior AI Engineer to spearhead our Project 2026, a next-generation generative AI platform designed to redefine enterprise intelligence. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and building scalable, robust systems for the future, we want to meet you.

At Nexus Innovations, we don't just build software; we architect the future. As part of the Project 2026 team, you will work with a world-class group of engineers, researchers, and product designers to deploy AI solutions that impact millions.

Why Join Us?

  • Work on cutting-edge AI technology that is shaping the landscape of 2026.
  • Competitive compensation package including equity options.
  • Unlimited PTO and a fully remote-first culture with a hub in Austin.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models for the Project 2026 initiative.
  • Collaborate with data scientists and backend engineers to optimize model inference and reduce latency.
  • Implement MLOps best practices to ensure models are reproducible, scalable, and monitored in production.
  • Conduct rigorous research to integrate the latest advancements in Generative AI into our core architecture.
  • Provide technical leadership and mentorship to junior engineers and data scientists on the team.
  • Define technical roadmaps and architecture standards for future AI features.

Qualifications

  • B.S., M.S., or Ph.D. in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years focused on LLMs or NLP.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

AI Machine Learning NLP Python PyTorch TensorFlow AWS Docker Kubernetes MLOps Project 2026 Austin Texas

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