Job Description
We are seeking a visionary Senior AI Engineer to lead our initiative in defining the technological landscape for 2026. At Nexus Future Systems, we don't just follow trends; we predict and build the future of generative intelligence.
As we prepare for the next leap in artificial general capabilities, you will be at the forefront of architecting scalable, ethical, and high-performance machine learning models. This is a rare opportunity to shape the architecture that will define enterprise AI for the next decade.
Why join us? You will work with top-tier talent on projects that redefine human-computer interaction, backed by competitive compensation and equity packages.
Responsibilities
- Architect Next-Gen AI Models: Design and deploy state-of-the-art Large Language Models (LLMs) and multimodal systems focused on 2026 capabilities.
- Optimization & Scale: Implement advanced inference optimization techniques to reduce latency and cost in production environments.
- RAG Pipeline Development: Build robust Retrieval-Augmented Generation systems to ensure data accuracy and relevance.
- Ethical AI Governance: Establish frameworks for bias mitigation, transparency, and safety in automated decision-making processes.
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high standards of engineering excellence.
- Research Integration: Translate cutting-edge research papers into production-ready code and prototypes.
Qualifications
- Education: BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in Machine Learning and Deep Learning engineering.
- Programming: Proficiency in Python, PyTorch, and TensorFlow.
- Infrastructure: Strong experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes).
- Domain Knowledge: Deep understanding of transformer architectures, fine-tuning strategies, and prompt engineering.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.