Job Description
Apex Future Labs is pioneering the next generation of Artificial General Intelligence (AGI) to prepare for the technological landscape of 2026. We are seeking a visionary Senior AI Engineer to architect scalable machine learning systems that define the future of human-computer interaction. You will be at the forefront of integrating Generative AI, Quantum Computing concepts, and Edge IoT into a cohesive ecosystem.
Why join us?
We offer a competitive compensation package, equity options, and the opportunity to work on high-impact projects that will shape the world in 2026 and beyond. Our culture is built on innovation, transparency, and the relentless pursuit of excellence.
Key Responsibilities:
Responsibilities
- Design and implement proprietary LLM architectures optimized for the 2026 computing paradigm.
- Lead the integration of quantum-classical hybrid algorithms for complex problem solving.
- Establish AI governance frameworks to ensure ethical deployment of autonomous systems.
- Mentor a high-performing team of ML engineers and data scientists.
- Collaborate with product strategists to define the 2026 roadmap for AI-driven consumer products.
- Optimize inference latency and model efficiency for edge devices.
Qualifications
- Master’s degree or PhD in Computer Science, Physics, or a related technical field.
- 5+ years of professional experience in Machine Learning Engineering or Applied AI.
- Deep proficiency in Python, C++, and Rust.
- Extensive experience with PyTorch, TensorFlow, and Hugging Face transformers.
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
- Experience with reinforcement learning and simulation environments.