Job Description
We are building the intelligent infrastructure of tomorrow. Nexus Future Labs is seeking a visionary Senior AI Engineer to join our elite R&D division. In this role, you will architect the next generation of generative AI models and autonomous systems designed to solve complex challenges in 2026 and beyond.
If you are passionate about pushing the boundaries of machine learning, possess a deep understanding of Large Language Models (LLMs), and want to leave a legacy in the future of technology, this is your opportunity to lead high-impact projects at the cutting edge of innovation.
Why Join Us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Shape the ethical standards for AI development.
- Competitive compensation package and equity options.
Responsibilities
- Design, train, and deploy scalable machine learning models for next-gen applications and predictive analytics.
- Lead the architecture and implementation of large-scale AI pipelines, ensuring high availability and performance.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Collaborate with product and engineering teams to translate abstract 2026 roadmaps into concrete technical solutions.
- Research and prototype novel algorithms in Natural Language Processing (NLP) and Computer Vision.
- Optimize existing models for reduced latency and increased inference speed on edge devices.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of professional experience in software engineering with a heavy focus on Machine Learning and Deep Learning.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of LLM architectures (Transformers, GPT, BERT) and fine-tuning methodologies.
- Experience with data engineering, distributed systems, and high-concurrency backend services.