Job Description
Are you ready to define the future of AI?
Horizon 2026 Technologies is at the forefront of next-generation artificial intelligence, building autonomous systems that will define the technological landscape of the coming decade. We are seeking a visionary Lead AI Engineer to lead our R&D division in architecting scalable, robust, and ethical AI solutions.
In this role, you will not just write code; you will pioneer the algorithms that will power our products in the year 2026 and beyond. You will work closely with cross-functional teams to integrate cutting-edge Generative AI and Agentic workflows into our core infrastructure.
Why Join Us?
- Impactful Work: Build systems that will be used by millions globally.
- Innovation: Work on bleeding-edge technology before it hits the mainstream.
- Compensation: Competitive salary, equity package, and full benefits.
Responsibilities
- Architect Development: Design and implement high-performance machine learning pipelines and neural network architectures tailored for 2026-scale data volumes.
- Model Optimization: Lead the research and deployment of Large Language Models (LLMs) and multimodal agents, focusing on inference speed and cost-efficiency.
- Research Leadership: Publish findings in top-tier conferences and contribute to the internal knowledge base regarding the future of AI safety and alignment.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Planning: Define the technical roadmap for AI capabilities, ensuring alignment with Horizon 2026's long-term product vision.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML, with at least 2 years in a senior or lead technical role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of deep learning principles and distributed systems.
- Domain Knowledge: Proven track record working with Generative AI, Transformers, or Reinforcement Learning.
- Problem Solving: Ability to tackle complex, ambiguous problems and deliver innovative solutions in a fast-paced environment.