AI Field Engineer - AI Natives

AI Field Engineer

This is a full-time opportunity for an AI engineer who can work directly with customers to build, deploy, and operationalize production AI systems. The role is remote-first for US-based hires, with regular customer travel and on-site delivery.

Role Overview

You will sit at the intersection of applied AI engineering, customer delivery, and product feedback. You will take

ambiguous customer problems from discovery through proof of concept and production integration, working closely

with technical stakeholders and internal product and engineering teams.

What You Will Do

• Lead customer-facing technical discovery, solution design, and proof-of-concept delivery for production AI use cases.
• Build and deploy LLM applications, agentic workflows, retrieval-augmented generation systems, evaluations, guardrails, and observability into customer environments.
• Own integrations and technical implementations across cloud AI platforms, APIs, data systems, and containerized production services.
• Translate customer requirements and deployment learnings into clear product feedback and repeatable implementation patterns.
• Partner with customer engineering, platform, security, and product teams to move from prototype to reliable production usage.
• Represent the company with technical credibility in workshops, architecture reviews, executive readouts, and on-site customer sessions.

What You Will Bring

• Strong software or ML engineering experience with production Python and cloud-based AI systems.
• Hands-on experience with LLM applications, RAG, multi-agent or workflow systems, model evaluation, and production reliability.
• The ability to work directly with customers, communicate clearly with technical and non-technical stakeholders, and take ownership from scoping through delivery.
• Experience with AWS, GCP, or Azure AI services and with containerized deployment using Docker and Kubernetes.
• Comfort learning new inference and serving layers quickly; experience with GPU-backed serving, vLLM, SGLang, or comparable systems is valuable.
• A pragmatic, low-ego approach to ambiguous problems and a willingness to travel for customer delivery.

Location and Travel

Remote-first for US-based employees. New York City and San Mateo are optional hubs rather than required in-office

locations. The role includes regular travel and on-site customer visits.

Compensation and Employment

• Full-time employee position.
• Base salary: $176,000-$228,000, depending on experience; $228,000 is the current top of the approved band.
• On-target earnings: $220,000-$285,000.
• Competitive equity.
• Equity grant terms and the mechanics of the variable portion of OTE will be confirmed by the hiring team.

LinkedIn URL - mandate

Visa sponsorship details

* Open to visa transfers (e.g. OPT, H1B transfers)

Additional visa sponsorship details

* H-1B transfers and TN visas sponsored. O-1 considered on a case-by-case basis

Initial Process

The first conversation will cover the role, customer delivery model, technical scope, travel expectations, and compensation package. Candidates who confirm interest can then be submitted for client review and coordinated into the next interview step.

Pay: $220,000.00 - $285,000.00 per year

Work Location: Remote