Home Job Details
2
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer at 2026

2026
Austin
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of a new era. At 2026, we aren't just predicting the future; we are architecting it. We are seeking a visionary Senior AI Engineer to lead our core infrastructure team in building autonomous systems that will define the technological landscape of the upcoming decade. If you are passionate about pushing the boundaries of machine learning and want to work in an environment that rewards innovation over convention, this is your stage.

Responsibilities

  • Architect and deploy scalable machine learning models for high-volume production environments.
  • Lead the research and development of next-generation AI algorithms focused on predictive analytics and automation.
  • Collaborate with cross-functional teams to integrate AI solutions into broader product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Optimize existing codebases to improve latency, throughput, and overall model performance.
  • Stay ahead of industry trends in AI/ML, experimenting with emerging technologies like Generative AI and Reinforcement Learning.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in software engineering, with a specific focus on AI/ML.
  • Deep proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools and CI/CD pipelines for model deployment.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Docker Kubernetes MLOps AI NLP

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All