Job Description
Architect the Intelligence of Tomorrow.
Nexus Future Systems is pioneering the next generation of autonomous systems leading up to the 2026 technological horizon. We are seeking a visionary Senior Generative AI Engineer to lead the development of our proprietary Large Language Model (LLM) infrastructure. If you thrive in a fast-paced, high-impact environment and want to define the standard for AI application, we want to meet you.
What You Will Do:
We are looking for a technical leader to bridge the gap between theoretical AI research and scalable production systems.
Responsibilities
- Architect and deploy high-performance Retrieval-Augmented Generation (RAG) pipelines to ensure data accuracy.
- Optimize transformer models for real-time inference and low-latency requirements.
- Develop and fine-tune LLMs using modern architectures (e.g., LLaMA, Falcon, GPT series).
- Build and maintain MLOps pipelines for model versioning, monitoring, and automated retraining.
- Collaborate with product and engineering teams to integrate AI capabilities into consumer-facing products.
- Stay ahead of the curve on emerging AI trends, including Agentic AI and multimodal models.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of professional experience in Python, PyTorch, or TensorFlow.
- Deep practical experience with LLMs, prompt engineering, and model fine-tuning.
- Strong proficiency in vector databases (Pinecone, Milvus, Weaviate) and semantic search.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of shipping complex machine learning products to production.