Job Description
Shape the Future of Intelligence.
We are building the operating system for tomorrow. Nexus Future Systems is seeking a visionary Senior AI Research Engineer to lead our Agentic AI initiatives. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Reinforcement Learning, and Ethical AI, this is your opportunity to define the technology stack for 2026 and beyond.
In this role, you won't just maintain existing systems; you will architect the next generation of autonomous agents capable of complex reasoning, multimodal interaction, and seamless human-machine collaboration.
Why Join Us?
• Work with state-of-the-art hardware (NVIDIA H100 clusters).
• Competitive equity package and performance bonuses.
• Remote-first culture with annual team summits in Austin.
Responsibilities
- Architect and Deploy: Design and implement scalable AI infrastructure for production-grade LLM applications, focusing on latency reduction and cost efficiency.
- R&D Leadership: Lead research initiatives in Multimodal AI and Chain-of-Thought reasoning to meet 2026 industry benchmarks.
- Model Optimization: Fine-tune proprietary models using techniques like LoRA, QLoRA, and quantization to enhance performance on edge devices.
- Ethical AI: Develop and enforce governance frameworks to ensure AI safety, fairness, and transparency in automated decision-making processes.
- Cross-Functional Collaboration: Partner with Product and Engineering teams to translate complex research concepts into user-centric, high-impact features.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML, with at least 2 years leading complex engineering projects.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Mathematical Proficiency: Strong understanding of linear algebra, calculus, probability, and statistics.
- System Design: Deep knowledge of distributed systems, cloud architecture (AWS/GCP), and MLOps pipelines.
- Soft Skills: Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders.