Job Description
Architecting the Intelligence of Tomorrow. We are looking for a visionary Lead GenAI Architect (2026 Vision) to define the next generation of artificial intelligence systems. At Apex Future Labs, we are not just building software; we are engineering the neural foundations of the future. You will be responsible for designing the advanced models that will power our ecosystem through the 2026 era and beyond.
What You Will Do:
- Design and implement scalable, high-performance neural network architectures for Generative AI applications.
- Lead the research and development of proprietary Large Language Models (LLMs) and Multimodal AI systems.
- Optimize inference pipelines and reduce computational costs for large-scale deployments.
- Collaborate with cross-functional teams to integrate cutting-edge AI capabilities into core products.
- Stay ahead of the curve by researching emerging technologies like Quantum Computing integration with AI.
- Mentor junior engineers and define technical best practices for the AI department.
Why You Should Apply:
- Impact: Work on projects that will define the technological landscape of 2026 and beyond.
- Compensation: Competitive base salary ($180k - $260k) plus substantial equity.
- Culture: Join a remote-first, elite team of engineers and researchers.
Responsibilities
- Design and implement scalable, high-performance neural network architectures for Generative AI applications.
- Lead the research and development of proprietary Large Language Models (LLMs) and Multimodal AI systems.
- Optimize inference pipelines and reduce computational costs for large-scale deployments.
- Collaborate with cross-functional teams to integrate cutting-edge AI capabilities into core products.
- Stay ahead of the curve by researching emerging technologies like Quantum Computing integration with AI.
- Mentor junior engineers and define technical best practices for the AI department.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field.
- 7+ years of experience in AI/ML engineering, with 3+ years in a lead architect role.
- Deep expertise in PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale language models (LLMs) in production environments.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and MLOps.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, experimental environment.