AI Engineer

AI Engineer

Salary: $175,000 - $225,000 per year

Location: San Mateo, California

Job description:

AI Engineer (Enterprise)

We're partnering with a high-growth, latestage AI infrastructure company to hire multiple AI Field Engineers (Enterprise) who can sit at the intersection of deep generative AI engineering and complex enterprise customer work. This is a customer-facing, hands-on role where you'll turn ambitious GenAI ideas into production systems for some of the most sophisticated organizations in the world.

What you'll be doing

Lead technical discovery with enterprise customers, scope POCs, and run load tests/evaluations to validate the right model architectures and deployment setups.

Build end-to-end POCs and production integrations directly inside customer environments, working through infra, security, and compliance constraints to get systems live.

Advise customers on model selection and fine-tuning strategies (e.g., SFT, DPO, RFT) and design evaluation frameworks that get them from experimentation to production at scale.

Own the technical relationship across complex accounts identify champions, handle detractors, and align stakeholders to keep deals and deployments moving.

Feed recurring patterns and customer pain points back into the product and engineering org as a direct loop from field to roadmap.

Qualifications:

What you've done

3+ years in customer-facing AI/ML or infrastructure roles (Field Engineer, Applied AI Engineer, Solutions Architect, ML Engineer, or similar) with a track record of owning technical workstreams in enterprise accounts.

Shipped real AI/ML production code into customer environments not just slideware or advisory engagements.

Hands-on experience with LLM inference and/or training using open-model frameworks (for example, modern serving stacks and fine-tuning workflows such as SFT; exposure to more advanced approaches like DPO or RFT is a strong plus).

Strong Python, plus comfort with GPUs and cloud infrastructure (AWS, Azure, or GCP) and container/orchestration tools such as Kubernetes.

Demonstrated executive-level presence: you can dive deep with an engineer and explain trade-offs to senior leadership in the same day.

Why is This a Great Opportunity:

AI-Native technology

Salary Type: Annual Salary

Salary Min: $175,000

Salary Max: $225,000

Currency Type: USD