Job Description
Are you ready to architect the intelligence layer of the next generation? Nebula Future Labs is seeking a visionary Senior Generative AI Engineer to lead our research and deployment efforts in the rapidly evolving landscape of 2026. You will be at the forefront of building scalable, safe, and high-performance Large Language Models (LLMs) that redefine user interaction.
Why Join Us?
- Work on next-gen AI infrastructure.
- Competitive equity package.
- Flexible remote-first culture.
We are looking for a technical leader who understands the nuances of transformer architectures, vector databases, and real-time inference optimization. If you are passionate about the future of AI, we want to hear from you.
Responsibilities
- Design and implement advanced Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Optimize LLM inference performance for low-latency, high-throughput production environments.
- Collaborate with cross-functional teams to integrate AI models into consumer-facing products.
- Conduct rigorous testing and validation of AI outputs to ensure safety, fairness, and ethical standards.
- Stay abreast of the latest research in NLP and apply cutting-edge techniques to improve model capabilities.
- Architect scalable MLOps pipelines for model training, fine-tuning, and deployment.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- 5+ years of professional experience in Machine Learning, NLP, or Deep Learning.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Transformer models, Hugging Face ecosystem, and LLM fine-tuning methods.
- Experience with vector databases (e.g., Pinecone, Milvus) and embedding technologies.
- Proven track record of deploying models to production using Kubernetes or cloud platforms.
- Excellent problem-solving skills and the ability to work in a fast-paced, innovative environment.