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.

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

• Comprehensive benefits package

Location and work model

• Remote (US)
• Full-time

Compensation, as the posting describes it

• Equity
• Performance-based variable compensation