Job Description
We are pioneering the infrastructure for the Year 2026 initiative, focusing on the next generation of autonomous intelligent agents. If you are a visionary engineer looking to define the future of AI interaction and decision-making, this is your opportunity to lead the charge in a high-impact environment.
Why Join Us?
We are a stealth-mode startup backed by top-tier VCs, building the operating system for future autonomous systems. You will work directly with our founding engineers and AI researchers to deploy models that are not just smart, but self-evolving.
Responsibilities
- Architect Design: Design and implement scalable, fault-tolerant architectures for autonomous AI agents and multi-agent systems.
- Model Optimization: Fine-tune large language models and reinforcement learning agents for specific industrial applications, ensuring high accuracy and minimal latency.
- R&D Leadership: Lead research initiatives into emergent AI behaviors and predictive modeling technologies.
- System Integration: Integrate AI solutions into complex software ecosystems, ensuring seamless data flow and real-time processing.
- Mentorship: Guide a team of junior data scientists and software engineers in best practices for AI engineering.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering, with a focus on productionizing AI models.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Domain Knowledge: Strong understanding of NLP, LLMs, and agent-based frameworks (LangChain, AutoGPT).
- Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.