Job Description
We are seeking a 2026 Visionary AI Engineer to lead our cutting-edge research division. In this role, you won't just be writing code for today; you will be architecting the intelligent systems that will define the technological landscape of the year 2026 and beyond. We are looking for individuals who possess a rare blend of deep technical expertise and a futuristic mindset.
At OmniStream, we believe that the next leap in AI isn't just about better algorithms—it's about context-aware, predictive, and autonomous systems. You will work at the intersection of Generative AI, Neuromorphic Computing, and Next-Gen Cloud Architecture. If you are passionate about solving the unsolvable and shaping the future of human-machine interaction, this is your stage.
Responsibilities
- Architect Next-Gen AI Solutions: Design and implement scalable machine learning models specifically tailored for the infrastructure requirements of 2026.
- Predictive System Development: Lead the R&D for autonomous systems capable of self-correcting and adaptive learning in real-time environments.
- Neuromorphic Integration: Collaborate with hardware engineers to bridge the gap between software logic and next-generation brain-inspired computing chips.
- Future-Proofing Infrastructure: Oversee the migration of legacy systems to quantum-ready architectures, ensuring long-term viability.
- High-Performance Computing: Optimize data pipelines for petabyte-scale processing, ensuring sub-millisecond latency for critical decision-making systems.
- Strategic Visioning: Conduct whitepapers and technical presentations to define the roadmap for OmniStream's AI capabilities over the next decade.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years focusing on Generative Models or Large Language Models.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Rust. Experience with GPU acceleration (CUDA) and distributed computing frameworks.
- Futuristic Knowledge: Deep understanding of emerging tech trends including Quantum Computing, Edge AI, and Synthetic Data generation.
- Leadership: Proven ability to lead cross-functional teams and mentor junior engineers in advanced technical concepts.
- Communication: Exceptional ability to translate complex 2026-era technologies into clear, actionable strategies for stakeholders.