Job Description
Are you ready to architect the technology of tomorrow?
Nexus Horizon AI is on a mission to pioneer the Generative AI landscape of 2026 and beyond. We are seeking a visionary Senior AI Engineer to join our elite engineering team. In this role, you won't just be building models; you will be defining the ethical frameworks, performance standards, and user experiences that will define the next era of artificial intelligence.
Join us in building the systems that understand, create, and interact with the world in ways previously thought impossible.
Responsibilities
- Architect & Deploy: Design, train, and deploy state-of-the-art Large Language Models (LLMs) and multimodal AI systems for high-traffic production environments.
- Pipeline Optimization: Engineer efficient MLOps pipelines to reduce inference latency and optimize compute costs at scale.
- Research & Innovation: Stay at the forefront of AI research, implementing novel architectures and fine-tuning techniques to push the boundaries of model capability.
- Collaboration: Partner with product managers and designers to translate complex AI capabilities into intuitive, user-centric applications.
- Ethical AI: Ensure all deployed models adhere to strict safety guidelines, bias mitigation protocols, and regulatory compliance standards.
- Technical Leadership: Mentor junior engineers and establish best practices for code quality, testing, and documentation within the AI squad.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, specifically within the NLP and Generative AI space.
- Technical Skills: Deep proficiency in Python, PyTorch, and TensorFlow.
- Model Expertise: Proven track record of fine-tuning, RAG (Retrieval-Augmented Generation), and deploying foundation models (e.g., GPT-4, Llama, Claude).
- Infrastructure: Strong experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
- Problem Solving: Ability to troubleshoot complex performance bottlenecks and optimize neural network architectures.