Job Description
Are you ready to architect the future of artificial intelligence? Nexus Innovations is seeking a visionary Senior AI Engineer to join our elite R&D division. In this pivotal role, you will be responsible for defining our roadmap and engineering the breakthrough technologies that will define our trajectory through 2026 and beyond. We are looking for a leader who not only understands the current landscape but has the foresight to anticipate the next leap in generative AI and machine learning.
As a key member of our team, you will collaborate with cross-functional squads to build scalable, robust, and ethical AI systems. If you thrive in a fast-paced environment and are passionate about pushing the boundaries of what's possible, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI models that impact millions of users.
- Competitive salary and equity package.
- Flexible remote and hybrid work options.
- Continuous learning budget and access to the latest hardware.
Responsibilities
- Lead the architecture and development of advanced machine learning models, specifically focusing on LLMs and generative AI for the 2026 roadmap.
- Optimize existing models for latency, throughput, and cost-efficiency in production environments.
- Collaborate with product managers and data scientists to translate business requirements into technical AI solutions.
- Mentor junior engineers and conduct code reviews to ensure high standards of engineering excellence.
- Stay ahead of industry trends, evaluating new frameworks and technologies to keep our stack innovative.
- Implement robust MLOps pipelines to ensure reliable model deployment and monitoring.
Qualifications
- Master’s or PhD degree in Computer Science, AI, or a related field.
- 5+ years of professional experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven track record of deploying large-scale machine learning models to production.
- Strong understanding of NLP, computer vision, or reinforcement learning.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Excellent problem-solving skills and a passion for innovation.