Field Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 17h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 22d ago
The date the source published, not the day we noticed it (2026-10-12). Last seen at its source 5h ago.
We have tracked this listing since 23 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 5 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Remote (…) US…
Pay
$176k–224k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 10d ago · last seen 5h ago
The listing
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