Job Description
Are you ready to architect the future of autonomous intelligence? Nexus 2026 Labs is seeking a visionary Senior Agentic AI Architect to lead the development of next-generation AI systems. We are defining the standards for Agentic AI—intelligent agents capable of autonomous reasoning, planning, and execution in complex, real-world environments.
In this role, you will bridge the gap between cutting-edge generative models and robust, scalable software architecture. You will build the brain of our autonomous systems, ensuring they are safe, efficient, and capable of handling mission-critical tasks.
What You Will Do:
- Design and implement scalable multi-agent architectures using LangChain, AutoGen, and custom frameworks.
- Develop advanced memory and state management systems to enable long-term context retention and learning.
- Optimize inference pipelines for high-throughput, low-latency environments.
- Collaborate with product and research teams to integrate agents into production workflows.
- Research and prototype novel techniques in Reinforcement Learning for autonomous decision-making.
Responsibilities
- Architect robust multi-agent systems capable of complex task decomposition and execution.
- Implement memory architectures (RAG, Vector DBs) to support agent continuity.
- Write clean, maintainable Python code and contribute to open-source frameworks.
- Conduct code reviews and mentor junior engineers on best practices in AI engineering.
- Ensure system scalability and reliability under high load.
Qualifications
- PhD or Master’s in Computer Science, AI, or a related field (or equivalent experience).
- 5+ years of professional experience in Machine Learning, NLP, or Deep Learning.
- Strong proficiency in Python and C++.
- Deep understanding of Large Language Models (LLMs) and their limitations.
- Experience with vector databases (Pinecone, Milvus) and RAG architectures.
- Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS/GCP).