Job Description
We are building the operating system for the year 2026. Nexus Future Systems is a venture-backed startup pioneering the next generation of Autonomous Agentic AI. We are looking for a visionary Senior AI Architect to lead our research and engineering division, defining the standards for Deep Reasoning Models and AI Agents.
In this role, you won't just be deploying models; you will architect the infrastructure that enables AI to operate autonomously in complex, real-world environments. If you are obsessed with pushing the boundaries of Large Language Models (LLMs) and want to define the technology stack of the future, we want to meet you.
Why join us?
- Impact at Scale: Your code will power the next evolution of enterprise automation.
- Top-Tier Team: Work alongside PhDs from MIT, Stanford, and former engineers from OpenAI and DeepMind.
- Road to 2026: We are already planning our roadmap for the next decade.
Responsibilities
- Architect and deploy scalable, high-performance inference pipelines for Generative AI models.
- Lead the design of Autonomous Agent frameworks capable of complex, multi-step reasoning.
- Optimize model architectures (Transformer variants) for latency and throughput on GPU clusters.
- Collaborate with product and research teams to translate theoretical AI advancements into practical applications.
- Establish best practices for AI safety, alignment, and ethical deployment.
- Guide junior engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of experience in Machine Learning Engineering or Applied AI.
- Deep expertise in Python, PyTorch, and C++.
- Experience with distributed systems, Kubernetes, and cloud infrastructure (AWS/GCP).
- Proven track record of deploying LLMs or large-scale ML systems in production.
- Strong understanding of Natural Language Processing (NLP) and prompt engineering.