Job Description
Are you ready to define the technological landscape of 2026? Apex Innovations is seeking a visionary Senior Generative AI Engineer to lead our next-generation model development initiatives. You will be at the forefront of integrating Large Language Models (LLMs) and multimodal AI into enterprise solutions, pushing the boundaries of what is possible in the future of software.
We are looking for a candidate who doesn't just write code but architects the intelligence of tomorrow. If you are passionate about ethical AI, scalable infrastructure, and creating transformative user experiences, we want to hear from you.
Why Join Us?
- Future-Proof Technology: Work on cutting-edge LLMs and RAG architectures designed for the enterprise of 2026.
- Competitive Compensation: Base salary up to $240,000 plus performance bonuses.
- Flexible Work: Hybrid model supporting San Francisco and remote talent.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale generative models using PyTorch and TensorFlow.
- Infrastructure: Build and optimize scalable inference pipelines to handle high-volume requests.
- Research: Stay ahead of the curve with the latest advancements in NLP and multimodal AI research.
- Collaboration: Partner with product managers and designers to translate technical capabilities into user-centric features.
- Optimization: Implement quantization, pruning, and other techniques to reduce model latency and cost.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of experience in machine learning engineering, specifically with LLMs or Transformers.
- Tools: Proficiency in Python, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Language: Excellent communication skills to bridge the gap between technical and non-technical teams.
- Problem Solving: Strong ability to debug complex distributed systems and optimize algorithms.