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