Job Description
Are you ready to define the next generation of intelligent automation? Nexus Future Systems is seeking a visionary Senior AI Engineer to lead our Agentic AI division in San Francisco. As we gear up for 2026, we are building autonomous systems that redefine human-machine interaction.
In this pivotal role, you will architect scalable machine learning pipelines, optimize large language models (LLMs) for real-time decision-making, and drive the next wave of AI innovation. You will be at the forefront of developing agents capable of complex reasoning and self-correction.
Why join us?
- Competitive salary and equity package.
- Work with state-of-the-art technology stacks.
- Flexible remote/hybrid work options.
- Opportunity to mentor the next generation of AI talent.
Responsibilities
- Design, train, and fine-tune large language models (LLMs) and multimodal agents.
- Develop and deploy high-performance inference engines to handle millions of requests daily.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance knowledge accuracy.
- Collaborate with product managers to translate complex AI capabilities into user-centric features.
- Optimize model latency and cost efficiency using quantization and pruning techniques.
- Establish best practices for MLOps, monitoring, and model governance.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, NLP, or Deep Learning.
- Proficiency in Python, PyTorch, TensorFlow, and C++.
- Strong understanding of transformer architectures and attention mechanisms.
- Experience with vector databases (Pinecone, Milvus) and cloud infrastructure (AWS/GCP/Azure).
- Demonstrated ability to ship production-grade AI models.