Job Description
We are at the forefront of the Generative AI revolution, building the intelligent infrastructure for the year 2026 and beyond. Nexus Future Labs is seeking a visionary Senior Generative AI Engineer to lead our core research initiatives. You will architect the next generation of Large Language Models, multimodal systems, and adaptive agents that redefine human-machine interaction.
In this role, you will not just use existing tools; you will push the boundaries of what is possible, focusing on hallucination reduction, ethical AI alignment, and real-time inference optimization.
Responsibilities
- Architect and train state-of-the-art Generative AI models (LLMs, Diffusion, Transformers) from scratch or fine-tune existing architectures for specific enterprise verticals.
- Optimize model inference pipelines for low-latency, high-throughput deployment on cloud-native environments (AWS/GCP).
- Implement advanced RAG (Retrieval-Augmented Generation) strategies to ensure factual accuracy and context-awareness.
- Collaborate with product teams to translate complex AI capabilities into intuitive user experiences.
- Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
- Evaluate and integrate emerging AI frameworks and tools to stay ahead of the 2026 technology curve.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
- Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of deploying production-ready AI models with high accuracy and efficiency.
- Strong understanding of neural architecture search, attention mechanisms, and transformer optimization.
- Experience with MLOps tools (MLflow, Kubeflow, SageMaker) and version control (Git).