Senior Forward Deployed AI Engineer

What you'll do

• Design, build, and deploy production-grade AI applications, LLM agents, and engineering automation solutions.
• Develop evaluation frameworks, benchmarks, and data pipelines to measure model quality and business impact.
• Implement LLM post-training techniques including supervised fine-tuning, reinforcement learning, and reward modeling.
• Diagnose and optimize AI system performance across models, infrastructure, orchestration, and tooling.
• Translate customer engineering challenges into reusable AI infrastructure and platform capabilities.
• Partner with customers to identify workflows and technical opportunities for AI-driven automation.
• Validate new models and techniques in production environments alongside AI research teams.
• Present technical architectures and implementation strategies to engineering leaders and executive stakeholders.

What we're looking for

• Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field (Master's preferred; PhD plus).
• Strong software engineering experience in Python and at least one systems language like C++, Rust, C, TypeScript, CUDA, or HIP.
• Proven experience building production AI or machine learning systems beyond prompt engineering or API integrations.
• Hands-on experience with LLM post-training, Reinforcement Learning (RLHF, PPO, DPO, GRPO), Preference Optimization, Reward Modeling, or Agent Evaluation.
• Deep understanding of transformer-based LLMs, inference, fine-tuning, retrieval, evaluation, and agent architectures.
• Experience designing reproducible evaluation frameworks using benchmarks, testing, and measurable performance metrics.
• Ability to translate ambiguous technical requirements into scalable production solutions while communicating with customers and stakeholders.
• Preferred experience with PyTorch, Hugging Face, JAX, TensorFlow, Ray, vLLM, or distributed AI infrastructure.