Job Description
Welcome to the vanguard of artificial intelligence. At Apex Neural Systems, we are not just building software for today; we are architecting the intelligence layer for the year 2026 and beyond. We are seeking a visionary Generative AI Architect to lead the development of autonomous, multi-modal agents capable of revolutionizing enterprise decision-making.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will work with state-of-the-art transformer architectures, optimizing for reasoning, creativity, and safety in a world where AI is ubiquitous.
Join us in shaping the future of human-computer interaction.
Responsibilities
- Design and implement cutting-edge Large Language Model (LLM) fine-tuning pipelines using proprietary datasets.
- Architect Retrieval-Augmented Generation (RAG) systems to enhance factual accuracy and minimize hallucinations.
- Lead the deployment of Agentic AI workflows that autonomously execute complex, multi-step tasks.
- Establish best practices for prompt engineering, model evaluation, and continuous learning loops.
- Collaborate with product teams to integrate generative features into consumer-facing applications.
- Ensure ethical AI compliance and safety alignment across all model outputs.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- Deep expertise in Python, PyTorch, or TensorFlow with a focus on deep learning frameworks.
- Proven track record of deploying production-ready NLP models at scale.
- Experience with Vector Databases (Pinecone, Weaviate) and cloud infrastructure (AWS/GCP).
- Strong understanding of LLM evaluation metrics and safety alignment techniques.
- Experience with MLOps tools such as MLflow or Kubeflow.