AI Field Engineer – AI / ML & Agentic Systems - Remote (fulltime)

Eligibility Criteria

Candidates should have:

• 3–10 years of relevant professional experience.
• Preferably 5+ years for senior profiles.
• Experience in a customer-facing technical AI/ML role.
• Strong software engineering ability.
• Strong Python skills.
• Proven experience building and shipping production AI/ML systems.
• Experience developing systems from the ground up.
• Direct experience running POCs or MVPs.
• Experience presenting technical solutions to stakeholders.
• Strong understanding of LLMs and GenAI systems.
• Experience with model deployment, fine-tuning, training, or inference.
• Ability to manage customer relationships.
• Ability to independently own complex technical implementations.
• Strong communication and presentation skills.
• Ability to operate effectively in fast-paced environments.
• Comfort with regular on-site customer visits within the U.S.

Relevant Candidate Backgrounds

Suitable backgrounds may include:

• Forward-Deployed Engineer
• AI Field Engineer
• Solutions Architect
• Sales Engineer
• Applied AI Engineer
• Machine Learning Engineer
• ML Infrastructure Engineer
• AI Infrastructure Engineer
• Customer Success Engineer with strong technical depth
• Client-facing AI Engineer
• Technical Account Manager with hands-on AI engineering experience

Preferred Candidate Archetypes

Profile A – Forward-Deployed / Embedded AI Engineer

Candidates who have:

• Worked directly with customers.
• Built AI solutions inside customer environments.
• Owned POCs and production implementations.
• Worked at AI-native or high-growth technology environments.
• Strongly combined engineering with customer delivery.

Profile B – Senior ML / AI Engineer

Candidates who have:

• Strong ML/AI engineering depth.
• Experience with model training, fine-tuning, inference, or deployment.
• Built production AI systems.
• Also demonstrated meaningful customer-facing or pre-sales experience.