Job Description
Nexus Future Systems is pioneering the technology landscape for the year 2026 and beyond. We are seeking a visionary Senior Generative AI Engineer to lead our R&D efforts in autonomous agents and next-generation Large Language Models. In this role, you will architect scalable AI solutions that redefine user interaction and operational efficiency. If you are passionate about building the technology stack for the future, we want to hear from you.
Why Join Us?
We offer a competitive compensation package, equity options, and the opportunity to work on projects that will shape the industry for the next decade. Our team thrives in a fast-paced, collaborative environment that encourages innovation and technical excellence.
Responsibilities
- Architect & Develop: Design, train, and deploy state-of-the-art Generative AI models and Large Language Models (LLMs) for production environments.
- R&D Leadership: Spearhead research initiatives to explore emerging technologies such as AGI, Multimodal AI, and autonomous agents.
- Optimization: Optimize model inference performance and reduce latency to ensure seamless user experiences.
- Integration: Collaborate closely with product managers and software engineers to integrate AI capabilities into our core software ecosystem.
- Mentorship: Mentor junior data scientists and engineers, fostering a culture of continuous learning and technical growth.
- Documentation: Create comprehensive technical documentation and contribute to open-source communities where applicable.
Qualifications
- Education: Master’s degree in Computer Science, Machine Learning, or a related technical field (PhD preferred).
- Experience: Minimum of 5 years of professional experience in software engineering or machine learning, with a focus on deep learning.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; strong experience with Hugging Face Transformers and LangChain.
- Cloud Infrastructure: Hands-on experience deploying models on cloud platforms (AWS, GCP, or Azure) using Kubernetes or Docker.
- Mathematics: Solid understanding of linear algebra, calculus, probability, and statistics.
- Communication: Excellent verbal and written communication skills with the ability to translate complex technical concepts for diverse audiences.