Job Description
We are building the operating system for the next decade. As a Next-Gen AI Systems Engineer, you won't just write code; you will architect the intelligence layer of the digital world.
Join Apex Future Systems in San Francisco, where we are pioneering solutions for the year 2026 and beyond. You will work with synthetic data, edge computing, and advanced neural architectures to solve complex, unsolved problems.
Why join us?
- Work on projects that define the future of human-machine interaction.
- Competitive equity package and top-tier compensation.
- Access to cutting-edge hardware and research facilities.
We are looking for a visionary engineer who is passionate about the intersection of code and consciousness. If you are ready to lead the industry into the next era, we want to hear from you.
Responsibilities
- Design and deploy scalable AI infrastructure for autonomous agents and smart environments.
- Optimize large language models (LLMs) and transformer architectures for real-time, low-latency inference.
- Develop and maintain synthetic data pipelines to train robust machine learning models.
- Implement ethical AI governance frameworks to ensure safety and fairness in algorithmic outputs.
- Collaborate with product and research teams to define technical roadmaps for 2026 and beyond.
- Conduct code reviews and mentor junior engineers in best practices for distributed systems.
Qualifications
- 5+ years of professional experience in software engineering or machine learning engineering.
- Deep expertise in Python, Rust, or Go, with a strong understanding of systems programming.
- Experience working with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proficiency in implementing and fine-tuning transformer models (e.g., BERT, GPT variants).
- Strong background in data structures, algorithms, and computational complexity theory.
- Experience with vector databases and semantic search technologies.