Job Description
Join OmniFuture Systems, a pioneer in next-generation artificial intelligence infrastructure. We are defining the roadmap for 2026, building scalable, robust, and secure AI models that will power the global economy.
As a 2026 AI Architect, you will not just write code; you will architect the future. You will work on cutting-edge Generative AI, optimizing large language models for edge deployment, and ensuring our systems remain resilient in a decentralized world.
Responsibilities
- Architect & Lead: Design the core infrastructure for our proprietary LLM ecosystem, ensuring scalability and high availability.
- Model Optimization: Engineer high-performance inference pipelines to reduce latency and cost by 40%.
- Research & Development: Experiment with emerging architectures (e.g., Mamba, State Space Models) to stay ahead of the industry curve.
- System Reliability: Implement rigorous testing and monitoring protocols to guarantee 99.99% uptime for critical AI services.
- Team Mentorship: Guide a team of brilliant engineers, conducting code reviews and fostering a culture of innovation.
Qualifications
- Education: Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 7+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, and TensorFlow; hands-on experience with Hugging Face and LangChain.
- Cloud Mastery: Strong experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems with creative engineering solutions.