Job Description
We are seeking a visionary Lead Engineer to define the technological roadmap for 2026 and beyond. At Apex Horizon Systems, we don't just predict the future; we build it. You will be at the forefront of developing scalable, generative AI solutions that redefine industry standards.
In this role, you will lead a world-class team of engineers in architecting next-generation neural networks and predictive analytics platforms. We are looking for someone who thrives on ambiguity and possesses the technical prowess to turn abstract 2026 visions into robust, production-ready software.
Why Join Us?
- Shape the future of technology with a forward-thinking team.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium office amenities in SF.
If you are ready to lead the charge into the next era of computing, we want to hear from you.
Responsibilities
- Architect and deploy scalable AI infrastructure designed to support the 2026 technology roadmap.
- Lead the research and development of proprietary machine learning models and algorithms.
- Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
- Collaborate with cross-functional product teams to translate strategic 2026 goals into technical specifications.
- Ensure system scalability, security, and high performance under heavy load.
- Conduct regular code reviews and architectural audits to maintain best practices.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture teams.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS/GCP).
- Proven track record of delivering complex systems from conception to production.
- Strong understanding of large language models (LLMs) and generative AI technologies.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience managing budgets and resource allocation for large engineering projects.