Field Engineer

About the company Our client is a fast-growing software company. The role Raydar is recruiting for this role on behalf of our client. Work directly with large organizations as a hands-on technical lead, guiding AI initiatives from early conversations through to live deployment. The role combines engineering, pre-sales consulting and stakeholder management, and passes field insights back to internal product teams. What you'll do - Run technical discovery sessions, scope proofs of concept, and carry out load testing and evaluations to confirm the right architecture and deployment setup for each customer. - Build proofs of concept and production integrations hands-on inside customer environments, working within their infrastructure and security constraints. - Advise customers on model selection, fine-tuning approaches and evaluation practices as they move from experimentation to production. - Manage relationships across multiple stakeholders, identify internal champions and align the right people to move opportunities forward. - Share recurring customer challenges and deployment patterns with product and engineering teams to inform the roadmap. - Travel domestically to customer sites as needed. Requirements What we're looking for - 3+ years of experience in a technical, customer-facing role. - A track record of delivering working AI or ML software in a client's own live systems, with hands-on exposure to large language model serving and fine-tuning. - Working knowledge of open-model serving tools and the trade-offs involved in inference, plus comfort in the terminal. - Experience deploying and running infrastructure for open-model inference. - Solid Python programming ability, along with experience running GPU workloads on a major cloud platform and familiarity with Kubernetes. - Executive presence in enterprise settings, able to hold a technical deep-dive with an engineer and present architecture trade-offs to a senior executive on the same day. - Experience carrying a pre-sales technical engagement from the first call through proof of concept scoping, evaluations and model recommendations. - Background at an AI-focused startup, or at an enterprise software company building AI features. - Experience working with a major cloud provider in an AI capacity. - Willingness to travel domestically to customers. Bonus points - Experience navigating enterprise organizational dynamics end-to-end. - Experience with preference-based or reinforcement fine-tuning workflows. Benefits Compensation and benefits - Base salary: USD 176,000 to 224,000 per year - Equity - Performance-based variable compensation - Comprehensive benefits package Location and work model - Remote (US) - Full-time