AI Field Engineer, AI infrastructure
New
L
LavendoAI Infrastructure
Remote-friendly with hubs in New York and San Mateo — flexibility to work from anywhere in the USFull-TimeMiddle
SalaryBase salary $176K–$224K, OTE $220K–$280K
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSPythonGCPKubernetesAzure
Requirements
- 3+ years of experience in a client-facing AI/ML role such as Solutions Architect, Forward-Deployed Engineer, or Applied AI Engineer.
- Hands-on experience with open-model LLM inference and/or fine-tuning.
- Experience with AI infrastructure on hyperscalers (AWS, Azure, or GCP).
- Strong Python programming skills.
- Experience working with GPU infrastructure and Kubernetes.
- Background at an AI-native company or a SaaS company building AI features.
- Proven ability to translate complex technical trade-offs for both technical and executive audiences.
- Full-time work history.
- Openness to travel to enterprise customers as needed.
Responsibilities
- Execute full pre-sales field cycles including discovery, POC scoping, model evaluations, and final model selection.
- Ship production code directly inside customer environments.
- Deploy and fine-tune open-model LLMs using frameworks such as vLLM, SGLang, and TensorRT-LLM.
- Partner with sales teams to shape deal strategy.
- Build and maintain relationships with stakeholders ranging from engineers to executives.
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