Job Description
We are looking for a visionary Senior Agentic AI Architect to lead the development of next-generation autonomous systems. As we prepare for the paradigm shift of 2026, our team is building the intelligence layer for the world's most complex digital ecosystems. You will be at the forefront of integrating Large Language Models (LLMs) with multi-agent workflows to create self-sufficient AI agents capable of solving unsolved problems.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 landscape.
- Competitive equity package and top-tier benefits.
- Collaborate with industry leaders in Silicon Valley.
If you are passionate about the future of Artificial General Intelligence and possess the technical depth to build it, we want to hear from you.
Responsibilities
- Architect and deploy scalable multi-agent AI systems optimized for 2026 infrastructure.
- Design sophisticated prompt engineering strategies and fine-tuning pipelines for LLMs.
- Lead the research and implementation of reinforcement learning techniques to improve agent autonomy.
- Optimize model inference speed and reduce latency for real-time applications.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Collaborate with product managers to translate complex AI capabilities into user-friendly features.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in Machine Learning, Deep Learning, or AI Research.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven experience working with LLMs (GPT-4, Claude, Llama) and RAG architectures.
- Strong understanding of distributed systems and MLOps best practices.
- Excellent communication skills and ability to present technical concepts to non-technical stakeholders.