Job Description
We are on a mission to define the technological landscape of 2026. Nexus Dynamics is seeking a Senior AI Architect to lead the development of next-generation Agentic AI systems and autonomous agents. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production infrastructure.
If you are passionate about the future of Artificial Intelligence, possess deep technical expertise, and want to shape the tools that will define the next decade, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI infrastructure for the 2026 era.
- Competitive compensation and equity package.
- Flexible remote-first culture with hubs in SF and NYC.
Key Responsibilities
- Architect and deploy scalable Agentic AI workflows and autonomous agents.
- Optimize Large Language Model (LLM) inference pipelines for speed and cost-efficiency.
- Design robust Retrieval-Augmented Generation (RAG) architectures to ensure data accuracy.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Establish best practices for AI safety, ethics, and model governance.
- Lead the evaluation and implementation of emerging 2026 AI trends.
Qualifications
- 7+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Strong understanding of Transformer architectures and LLMs.
- Experience with vector databases (Pinecone, Milvus) and orchestration tools (LangChain, LlamaIndex).
- Proven track record of shipping high-performance ML models to production.
- Excellent problem-solving skills and ability to mentor junior engineers.
Responsibilities
- Architect and deploy scalable Agentic AI workflows and autonomous agents.
- Optimize Large Language Model (LLM) inference pipelines for speed and cost-efficiency.
- Design robust Retrieval-Augmented Generation (RAG) architectures to ensure data accuracy.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Establish best practices for AI safety, ethics, and model governance.
- Lead the evaluation and implementation of emerging 2026 AI trends.
Qualifications
- 7+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Strong understanding of Transformer architectures and LLMs.
- Experience with vector databases (Pinecone, Milvus) and orchestration tools (LangChain, LlamaIndex).
- Proven track record of shipping high-performance ML models to production.
- Excellent problem-solving skills and ability to mentor junior engineers.