Job Description
Shape the Future of Intelligence.
At Nexus Future Labs, we are building the foundational architecture for the 2026 era of Artificial Intelligence. We are looking for a visionary Senior Generative AI Engineer to lead our research and engineering initiatives in Large Language Models (LLMs), Autonomous Agents, and Multimodal AI systems.
Join a team of world-class researchers and engineers dedicated to pushing the boundaries of what is possible. You will define the technical roadmap for the next generation of AI applications, ensuring our solutions are scalable, ethical, and groundbreaking.
Why Join Us?
- Work on cutting-edge technology that defines the future.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with access to state-of-the-art labs.
Responsibilities
- Architect and deploy state-of-the-art Generative AI models (LLMs) optimized for the 2026 market landscape.
- Design and implement efficient inference pipelines to handle high-volume data streams in real-time.
- Collaborate with product teams to integrate autonomous AI agents into core business workflows.
- Establish best practices for data privacy, model explainability, and responsible AI deployment.
- Conduct research to identify emerging trends in multimodal learning and predictive analytics.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or NLP.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Experience with MLOps tools (MLflow, Kubeflow) and cloud infrastructure (AWS, GCP, Azure).
- Proven track record of shipping production-grade machine learning systems.
- Strong understanding of LLM fine-tuning, RAG (Retrieval-Augmented Generation), and vector databases.