Job Description
We are on a mission to redefine the boundaries of artificial intelligence. As a Senior AI Engineer at Nexus Horizon, you will be at the forefront of the next evolution of Generative AI, working on scalable architectures that power the future of enterprise automation. We are looking for a visionary engineer who is passionate about Large Language Models (LLMs), vector databases, and the ethical deployment of AI agents.
Why Join Us?
- Work with state-of-the-art models and proprietary datasets.
- Shape the AI roadmap for a rapidly scaling global platform.
- Competitive compensation package with equity options.
Key Responsibilities:
- Design, train, and fine-tune large-scale foundation models to optimize for specific enterprise use cases.
- Develop and deploy autonomous AI agents capable of complex reasoning and multi-step decision making.
- Architect high-throughput, low-latency inference pipelines using cloud-native technologies.
- Collaborate with cross-functional teams (Product, Engineering, Design) to integrate AI capabilities seamlessly into user experiences.
- Conduct rigorous testing and evaluation of model performance, focusing on accuracy, hallucination reduction, and safety.
- Stay ahead of the curve on the latest research in NLP, Computer Vision, and Multimodal AI.
Qualifications:
- Master’s degree or PhD in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
- 7+ years of professional experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven experience working with LLMs (GPT-4, Claude, Llama) and fine-tuning techniques (LoRA, PEFT).
- Strong understanding of MLOps practices, including model versioning, A/B testing, and CI/CD for ML models.
- Familiarity with vector databases (Pinecone, Milvus, Weaviate) and RAG architectures.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.
Responsibilities
- Design, train, and fine-tune large-scale foundation models to optimize for specific enterprise use cases.
- Develop and deploy autonomous AI agents capable of complex reasoning and multi-step decision making.
- Architect high-throughput, low-latency inference pipelines using cloud-native technologies.
- Collaborate with cross-functional teams (Product, Engineering, Design) to integrate AI capabilities seamlessly into user experiences.
- Conduct rigorous testing and evaluation of model performance, focusing on accuracy, hallucination reduction, and safety.
- Stay ahead of the curve on the latest research in NLP, Computer Vision, and Multimodal AI.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
- 7+ years of professional experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven experience working with LLMs (GPT-4, Claude, Llama) and fine-tuning techniques (LoRA, PEFT).
- Strong understanding of MLOps practices, including model versioning, A/B testing, and CI/CD for ML models.
- Familiarity with vector databases (Pinecone, Milvus, Weaviate) and RAG architectures.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.