Job Description
We are seeking a visionary Senior AI & Future Tech Engineer to join our elite team at Nexus Innovations. As we look toward the technological landscape of 2026, we are building the infrastructure that will define the future of intelligent systems. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Generative AI, this is your opportunity to lead high-impact projects in a dynamic, remote-first environment.
Our mission is to democratize advanced AI, making it accessible and transformative for industries worldwide. You will work alongside world-class researchers and engineers to solve complex problems, optimize model performance, and architect scalable solutions.
Responsibilities
- Lead Architecture: Design and implement scalable machine learning pipelines and infrastructure capable of handling high-volume data streams.
- Model Optimization: Fine-tune and optimize state-of-the-art models (LLMs, Transformers) to ensure low-latency, high-accuracy performance in production environments.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews, and establishing best practices for AI development.
- Research & Development: Stay ahead of industry trends to integrate cutting-edge research into practical, production-ready applications.
- Collaboration: Partner with product managers and cross-functional teams to translate business requirements into technical AI solutions.
- Deployment: Manage the full CI/CD lifecycle for AI models, ensuring robustness and security in cloud environments (AWS/GCP).
Qualifications
- Experience: 5+ years of professional software engineering experience with a focus on Machine Learning or Artificial Intelligence.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of data structures, algorithms, and software design principles.
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related quantitative field is preferred.
- Cloud Expertise: Hands-on experience deploying models on major cloud platforms (AWS, GCP, or Azure).
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to troubleshoot complex system issues and deliver robust, scalable solutions under tight deadlines.