Job Description
Are you ready to architect the intelligence of tomorrow? Nexus AI Labs is at the forefront of the Generative AI revolution, and we are looking for a visionary Senior AI Engineer to join our team and help define the landscape for 2026.
We are building the next generation of Large Language Models (LLMs) and Autonomous Agents. If you have a passion for pushing the boundaries of what is possible with deep learning and want to work in a high-impact environment, we want to meet you.
Responsibilities
- Architect LLM Solutions: Design, train, and deploy scalable generative AI models using state-of-the-art transformer architectures.
- Optimize Inference: Engineer high-performance inference pipelines to ensure low-latency, cost-effective AI deployments at scale.
- RAG & Vector Search: Develop advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and reduce hallucinations.
- Model Fine-tuning: Lead the fine-tuning process for proprietary datasets using techniques like LoRA and QLoRA.
- Collaborative Innovation: Work closely with product managers and data scientists to translate complex AI concepts into user-centric features.
- Research & Development: Stay ahead of the curve by researching and implementing emerging AI methodologies relevant to the 2026 roadmap.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- Experience: 5+ years of professional experience in machine learning engineering or applied AI research.
- Technical Stack: Deep expertise in Python, PyTorch, or TensorFlow; hands-on experience with Hugging Face Transformers.
- Foundational Knowledge: Strong understanding of neural networks, attention mechanisms, and natural language processing (NLP).
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to diverse stakeholders.