Sr. Forward Deployed AI Engineer
Santa Clara, CA$204k - $306kFull-timePosted 3mo ago
About the role
Forward Deployed Research Engineer role focused on building, evaluating, and deploying production-grade AI systems for enterprise customers, combining software engineering, applied AI research, and customer engagement.
Responsibilities
- Partner with customer engineering teams to understand workflows, technical challenges, and opportunities for AI-driven automation.
- Design, build, and deploy production-grade AI applications, LLM agents, and engineering automation solutions.
- Develop evaluation frameworks, benchmarks, testing environments, and data pipelines to measure model quality and business impact.
- Build and evaluate LLM post-training solutions, including supervised fine-tuning, reinforcement learning, preference optimization, and reward modeling.
- Diagnose and optimize AI system performance across models, data, infrastructure, orchestration, and tooling.
- Collaborate with AI researchers to validate new models and techniques in production environments.
- Present technical solutions, architecture, and implementation strategies to engineering leaders, customers, and executive stakeholders.
- Transform recurring customer use cases into reusable AI infrastructure, frameworks, and platform capabilities.
Qualifications
- Strong software engineering experience in Python and at least one systems language such as 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 one or more of the following: LLM post-training, Reinforcement Learning (RLHF, PPO, DPO, GRPO, or similar), Preference Optimization, Reward Modeling, Model or Agent Evaluation, AI Training or Inference Infrastructure.
- 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.
- Strong systems thinking, debugging, and problem-solving skills.
- Experience translating ambiguous technical requirements into scalable production solutions.
- Ability to work directly with customers and technical stakeholders to drive solution design, implementation, and adoption.
- Excellent written and verbal communication skills with engineers, researchers, customers, and executive leadership.
Skills
Required:PythonC++LLM post-trainingReinforcement LearningEvaluation frameworksCustomer engagement
Nice to have:Rust
Last updated Oct 22, 2026. Interested? Apply on the company site.
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