Senior AI Field Engineer - Enterprise

I_Call international in partnership with AI Talent Hunt, is conducting a confidential search on behalf of a rapidly growing AI infrastructure company.

Full-time

Remote: San Mateo, CA

$176K - $224K (OTE: $220K - $280K)

3+ years of experience in customer-facing AI/ML field engineering (FDE, Applied AI, Solutions Architect, AI Infra, ML Engineer, Software Engineer with pre-sales exposure, or research backgrounds transitioning to customer-facing roles)

Shipped AI/ML production code inside a customer's environment

Hands-on LLM inference and fine-tuning experience — ran SFT pipelines, benchmarked latency, and tuned open-model deployments

Ran the full field cycle in a pre-sales or customer-facing capacity — discovery, POC scoping, load tests, evals, and model selection

Background at an AI-native/AI-infra startup (inference, MLOps, developer tooling) or enterprise SaaS with built-in AI features

LLM serving frameworks (vLLM, SGLang, TensorRT-LLM), agents, inference trade-offs, terminal-comfortable

Python and Kubernetes proficiency

Trained open models and familiar with fine-tuning methodologies (SFT, DPO, RFT)

GPU optimization for LLM workloads

Demonstrated executive presence in enterprise customer-facing roles

Navigated enterprise org politics end-to-end — champions, detractors, security reviews, and procurement cycles

Domestic travel to enterprise customers as needed

LLM experience limited to closed-model API wrappers with no exposure to open-model inference, serving frameworks, or fine-tuning

Pure advisory/consultant profiles without shipping production code

Pure Big Tech backgrounds with no startup or fast-paced field engineering exposure

We are looking for an AI Field Engineer (Enterprise) with 3+ years of experience to embed with our most ambitious enterprise customers and turn complex GenAI challenges into production systems — fast. You will be the technical tip of the spear, pairing deep hands-on engineering with the executive presence to earn trust across large organizations and drive deals from first discovery call to production deployment.

• Lead technical discovery calls, scope POCs, and run load tests and evaluations to validate the right model architecture and deployment configuration

• Build end-to-end POCs and production integrations hands-on inside customer environments, navigating infrastructure, security, and organizational constraints

• Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation frameworks to scale from exploration to production

• Manage multi-stakeholder enterprise relationships — identifying champions, navigating org politics, and aligning stakeholders

• Feed customer pain points and deployment patterns back into the engineering roadmap

• Deep hands-on experience with LLM inference and/or training (vLLM, SGLang, TensorRT-LLM)

• Strong experience with fine-tuning workflows (SFT required; DPO/RFT a plus)

• Proven ability to ship production code inside customer environments

• Strong Python + GPU/cloud experience (AWS, Azure, or GCP)

• Kubernetes proficiency

• Executive presence across technical and business stakeholders

• Pre-sales or customer-facing field engineering experience required

$176K - $224K (OTE: $220K - $280K)

(80/20 base/variable split, paid quarterly based on performance. Equity included separately. Compensation scales with experience; senior candidates may exceed range.)

Competitive equity

H-1B transfers and TN visas sponsored. O-1 considered case-by-case

US-based, remote-friendly

Requires regular travel to enterprise customers

Hybrid model may apply near hubs

San Mateo, CA, New York, NY

Python, vLLM, SGLang, TensorRT-LLM, Kubernetes, AWS, Azure, GCP, Azure AI Foundry, AWS Bedrock, AWS SageMaker, GCP Vertex AI, LLM Fine-Tuning (SFT, DPO, RFT), GPU Infrastructure, Open-source LLM frameworks

• What specifically about this role excites you?

• How do you partner with sales in large enterprise deals?

• Are you open to office collaboration in San Mateo or New York?

• Walk through a production POC you built inside a customer environment

• Experience with vLLM, SGLang, SFT, DPO workflows

• Salary expectations

• Current job search status

"Together AI" OR "Replicated" OR "Modal Labs" OR "Baseten" OR "Anyscale" OR "Groq" OR "Cerebras" OR "Mistral AI" OR "Cohere"

"Microsoft" OR "Google" OR "Amazon Web Services (AWS)" OR "NVIDIA" OR "AMD" OR "Databricks" OR "Snowflake" OR "MongoDB"

"Cursor" OR "Notion" OR "Scale AI" OR "Weights & Biases" OR "Hugging Face" OR "LangChain" OR "Pinecone" OR "Weaviate" OR "Glean" OR "Perplexity AI"