AI Field Engineer – AI / ML & Agentic Systems

MetaSense

Posted 28d ago

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Work directly with customers to understand technical and business requirements.
Build and deliver Proofs of Concept (POCs) and MVPs.
Develop production-ready AI/ML integrations.
Embed and deploy AI solutions within customer environments.
Own customer-facing technical implementations from discovery through production.
Build, maintain, and optimize ML/AI systems.
Support AI model deployment, inference, training, and fine-tuning workflows.
Help customers optimize application and model performance.
Manage technical relationships with customer accounts.
Present architecture, strategy, technical trade-offs, and business outcomes to stakeholders.
Translate customer feedback into product and engineering improvements.
Collaborate closely with product teams to rapidly improve solutions based on customer needs.
Support enterprise and AI-native customers through fast-moving implementation cycles.
Take significant ownership of technical delivery and customer outcomes.

3-10 years of relevant professional experience
Strong Python skills
Proven experience building and shipping production AI/ML systems
Experience with model deployment, fine-tuning, training, or inference
Experience with LLM deployment
Experience with inference optimization
Experience with cloud infrastructure (AWS, GCP, or Azure)
Experience with Kubernetes
Experience with vLLM or SGLang
Experience with Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), or Reinforcement Fine-Tuning (RFT)
Experience running POCs or MVPs
Experience presenting technical solutions to stakeholders
Ability to manage customer relationships
Ability to independently own complex technical implementations
Strong communication and presentation skills
Comfort with regular on-site customer visits within the U.S.

Skills