[Remote] AI Field Engineer - reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an AI Field Engineer specializing in reputed company solutions. The role involves customer-facing responsibilities in AI/ML field engineering, requiring hands-on experience with LLM inference and production reputed company deployment reputed company reputed company environments.
Responsibilities
- 3+ years of experience in customer-facing AI/ML field engineering (FDE, reputed company AI, Solutions Architect, AI reputed company, ML Engineer, Software Engineer with reputed company-sales exposure, or research backgrounds transitioning to customer-facing roles)
- Shipped AI/ML production reputed company inside a customer's environment
- Hands-on LLM inference and fine-tuning experience — ran SFT pipelines, benchmarked latency, and tuned reputed company-model deployments
- Ran the full field cycle in a reputed company-sales or customer-facing reputed company — discovery, POC scoping, load tests, evals, and model selection
- Background at an AI-reputed company/AI-reputed company startup (inference, MLOps, developer tooling) or reputed company reputed company with reputed company-in AI features
- LLM serving frameworks (vLLM, SGLang, TensorRT-LLM), agents, inference trade-offs, terminal-comfortable
- Python and Kubernetes proficiency
- Trained reputed company models and familiar with fine-tuning methodologies (SFT, DPO, RFT)
- GPU optimization for LLM workloads
- Demonstrated executive reputed company in reputed company customer-facing roles
- Navigated reputed company org politics end-to-end — champions, detractors, reputed company reviews, and procurement cycles
- Domestic travel to reputed company customers as needed
Skills
- 3+ years of experience in customer-facing AI/ML field engineering (FDE, reputed company AI, Solutions Architect, AI reputed company, ML Engineer, Software Engineer with reputed company-sales exposure, or research backgrounds transitioning to customer-facing roles)
- Shipped AI/ML production reputed company inside a customer's environment
- Hands-on LLM inference and fine-tuning experience — ran SFT pipelines, benchmarked latency, and tuned reputed company-model deployments
- Ran the full field cycle in a reputed company-sales or customer-facing reputed company — discovery, POC scoping, load tests, evals, and model selection
- Background at an AI-reputed company/AI-reputed company startup (inference, MLOps, developer tooling) or reputed company reputed company with reputed company-in AI features
- LLM serving frameworks (vLLM, SGLang, TensorRT-LLM), agents, inference trade-offs, terminal-comfortable
- Python and Kubernetes proficiency
- Trained reputed company models and familiar with fine-tuning methodologies (SFT, DPO, RFT)
- GPU optimization for LLM workloads
- Demonstrated executive reputed company in reputed company customer-facing roles
- Navigated reputed company org politics end-to-end — champions, detractors, reputed company reviews, and procurement cycles
- Domestic travel to reputed company customers as needed
Benefits
- Hybrid (US-based, remote-friendly) work mode
- Domestic travel to reputed company customers as needed
reputed company