Job Description
Are you ready to define the future of technology? 2026 is on a mission to architect the infrastructure that will power the world in the year 2026 and beyond. We are seeking a visionary Senior AI Product Engineer to join our elite team and lead the development of next-generation generative models and autonomous systems.
About the Role:
In this high-impact position, you will bridge the gap between cutting-edge research and scalable production systems. You will work closely with product managers and designers to transform complex AI concepts into robust, user-centric products that set the standard for the industry.
Why join 2026?
- Future-Forward Impact: Work on projects that are actively shaping the technological landscape of the near future.
- Top-Tier Compensation: Competitive salary and equity package designed for senior talent.
- Flexible Work Environment: Hybrid model allowing for both collaborative office days and focused remote work.
Responsibilities
- Model Development: Design, train, and deploy large-scale machine learning models using Python and modern deep learning frameworks.
- System Optimization: Optimize algorithms for inference speed, memory efficiency, and cost reduction in production environments.
- Product Collaboration: Partner with product teams to define technical requirements and translate business goals into technical roadmaps.
- Research & Innovation: Stay at the forefront of AI advancements, experimenting with novel architectures and techniques.
- Code Quality: Write clean, maintainable code and mentor junior engineers through code reviews and technical guidance.
- Infrastructure Management: Manage cloud infrastructure (AWS/GCP) and ensure system reliability and scalability.
Qualifications
- Education: BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in software engineering or AI/ML engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Cloud Expertise: Experience deploying models to production environments using cloud services (AWS, Azure, or GCP).
- Problem Solving: Ability to troubleshoot complex system issues and provide data-driven solutions.