Job Description
Shape the Future of Intelligence
Are you a visionary engineer ready to push the boundaries of what's possible with Artificial Intelligence? Nexus Innovations is seeking a world-class Senior AI Engineer to lead our next-generation generative AI initiatives. In this pivotal role, you will architect scalable machine learning systems and deploy state-of-the-art Large Language Models (LLMs) that drive our core products.
Join a diverse team of researchers and engineers dedicated to creating ethical, high-performance AI solutions. If you thrive in a fast-paced, innovative environment and want to define the AI landscape of 2026, we want to hear from you.
Why Join Us?
- Competitive compensation package ($180k - $260k).
- Equity and performance bonuses.
- Flexible remote and hybrid work options.
- Access to cutting-edge hardware and cloud resources.
- Professional development and continuous learning budget.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale language models and generative AI architectures using PyTorch and TensorFlow.
- System Architecture: Build robust, scalable ML pipelines that handle high-throughput data ingestion and real-time inference.
- RAG Implementation: Implement Retrieval-Augmented Generation strategies to enhance model accuracy and reduce hallucinations.
- MLOps: Deploy models to production environments using cloud infrastructure (AWS/Azure/GCP) and manage CI/CD for machine learning workflows.
- Research & Innovation: Stay at the forefront of the AI field, experimenting with new techniques like diffusion models or multi-modal AI.
- Collaboration: Work closely with product managers and data scientists to translate business requirements into technical AI solutions.
- Ethical AI: Ensure deployed models adhere to safety guidelines and ethical AI standards.
Qualifications
- Education: M.S. or Ph.D. in Computer Science, Machine Learning, or a related quantitative field (or equivalent practical experience).
- Programming: Expert-level proficiency in Python and experience with deep learning frameworks (PyTorch preferred, TensorFlow acceptable).
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years specifically in Generative AI or NLP.
- Frameworks: Strong understanding of Hugging Face, LangChain, and vector databases (Pinecone, Weaviate, Milvus).
- Cloud: Experience deploying models on major cloud platforms and containerization (Docker, Kubernetes).
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.