Job Description
Welcome to the vanguard of the AI revolution. At Quantum Nexus Labs, we are not just building software; we are architecting the infrastructure for the 2026 era. We are seeking a visionary Senior AI Engineer to lead the development of next-generation autonomous agents and large language model (LLM) systems. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to define the standards for the future, we want to hear from you.
Our mission is to bridge the gap between theoretical AI and practical, high-impact applications. You will work alongside world-class researchers and engineers to deploy scalable, robust, and ethical AI solutions that will power industries for decades to come.
Responsibilities
- Architect and deploy state-of-the-art LLM applications, focusing on Agentic workflows and RAG (Retrieval-Augmented Generation).
- Optimize model inference pipelines to ensure sub-millisecond latency for real-time applications.
- Collaborate with product and engineering teams to translate complex business requirements into technical AI solutions.
- Implement rigorous testing frameworks and MLOps practices to ensure model reliability and scalability.
- Stay ahead of the curve with the latest advancements in AI research, specifically targeting innovations relevant to the 2026 timeline.
- Mentor junior engineers and contribute to the technical roadmap for our flagship AI product suite.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- 5+ years of experience in software engineering with a strong focus on Machine Learning and Deep Learning.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven experience in fine-tuning, pre-training, or deploying large language models (e.g., GPT-4, Llama 3).
- Deep understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Strong grasp of data structures, algorithms, and software design principles.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.