Job Description
We are seeking a visionary Senior AI Architect to lead our mission into the 2026 era of autonomous intelligence. At Apex Neural Systems, we are not just building models; we are engineering the fabric of future human-computer symbiosis. You will be at the forefront of developing Agentic AI systems capable of complex reasoning, self-correction, and real-world execution.
Why Join Us?
- Next-Gen Technology: Work with the latest advancements in LLMs, Vector Databases, and Multi-Agent systems.
- Impact: Your code will power applications that redefine productivity and creativity.
- Equity & Benefits: Competitive compensation package including RSUs, comprehensive health, and remote flexibility.
Ready to define the future? Apply today.
Responsibilities
- Architect and deploy scalable, high-performance Agentic AI workflows that leverage Large Language Models (LLMs) for autonomous decision-making.
- Lead the research and implementation of cutting-edge techniques in Reasoning, Planning, and Memory architectures.
- Optimize model inference latency and cost-efficiency using techniques like Quantization, Pruning, and Tensor Parallelism.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products seamlessly.
- Establish and enforce best practices for AI Safety, Ethics, and Privacy in a 2026-ready environment.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field (or equivalent experience).
- 7+ years of professional experience in AI/ML engineering, with a strong focus on Deep Learning and NLP.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and Fine-tuning methodologies.
- Proven experience designing cloud-native systems on AWS, GCP, or Azure.
- Strong grasp of distributed computing and large-scale data engineering pipelines.