Job Description
We are at the forefront of defining the intelligent landscape for the year 2026. Nexus Future Labs is seeking a visionary Senior Generative AI Engineer to lead the development of next-generation Agentic AI systems and Large Language Model (LLM) architectures.
In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment, building systems that understand context, reason autonomously, and interact seamlessly with the digital world. If you are passionate about the future of Artificial Intelligence and want to shape the standards of 2026, we want to meet you.
Why Join Us?
- Impact: Work on core infrastructure that powers the next evolution of AI agents.
- Freedom: A culture that encourages experimentation and rapid prototyping.
- Equity: Competitive compensation package with equity opportunities.
Responsibilities
- Architect and deploy state-of-the-art generative models, including LLMs and diffusion models, tailored for 2026-era applications.
- Design and implement RAG (Retrieval-Augmented Generation) pipelines to enhance model accuracy and reduce hallucinations.
- Develop and optimize Agentic AI workflows that enable autonomous decision-making and task execution.
- Collaborate with cross-functional teams (Product, Research, and Engineering) to translate complex AI concepts into user-friendly products.
- Mentor junior engineers and contribute to the technical roadmap for future AI capabilities.
- Ensure scalability, latency optimization, and cost-efficiency of AI inference at scale.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
- Experience: 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; deep understanding of Transformer architectures and Hugging Face libraries.
- Deployment: Proven experience deploying ML models to production environments (AWS, GCP, or Azure).
- Research: Track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or open-sourcing significant projects.
- Soft Skills: Strong problem-solving abilities, excellent communication skills, and a passion for the future of technology.