Job Description
We are a premier technology firm pioneering the AI landscape of 2026. We are looking for a visionary Senior AI Architect to lead the development of autonomous agents and next-generation generative intelligence systems. If you are passionate about the future of artificial intelligence and want to shape the interaction between humans and machines, this is your opportunity to make history.
As a Senior AI Architect, you will be responsible for designing scalable, secure, and high-performance AI infrastructures. You will work directly with our research team to translate theoretical advancements in Large Language Models (LLMs) into practical, deployable applications that redefine industry standards.
Why Join Us?
- Work on cutting-edge Agentic AI technology.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in San Francisco.
- Access to the latest hardware and cloud resources.
Responsibilities
- Architect and implement scalable infrastructure for Multi-Agent AI systems and autonomous agents.
- Optimize LLM inference pipelines to reduce latency and improve cost-efficiency.
- Develop and refine Retrieval-Augmented Generation (RAG) strategies to enhance factual accuracy.
- Collaborate with product managers to define AI feature roadmaps and technical specifications.
- Establish best practices for AI safety, ethics, and bias mitigation in production models.
- Lead code reviews and mentor junior engineers in advanced machine learning techniques.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience in software engineering, with at least 3 years in Machine Learning Engineering.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of deploying LLMs and fine-tuning models at scale.
- Strong understanding of vector databases (e.g., Pinecone, Milvus) and distributed systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).