Customer-Facing AI Platform Engineer

Baseten; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Medical, dental, vision coverage for +

Flexible PTO including Winter Break

Paid parental leave

Fertility and family-building stipend

401(k)

Learning and networking opportunities

Job summary

Baseten is hiring Forward Deployed Engineers to work with the world’s fastest-growing AI companies, taking technical ownership for workloads from inference to deployment. You’ll collaborate across the model lifecycle, optimize performance, and drive customer success at scale.

You’ll engage with Kubernetes, Slurm, Ray, and modern inference stacks, bringing deep infrastructure expertise and a passion for solving complex AI workloads on production systems.

Qualifications

• 1–2 years of software eng experience shipping and maintaining production code.

Responsibilities

• Act as account CTO on Baseten, accountable for workloads’ design, run, and scale.
• Frame customer problems, define specs, build PoC, and ship to production quickly.
• Design evals/benchmarks to isolate quality or performance gaps and close them.
• Be first responder to mission-critical failures, triage and fix or route to owning team.
• Build internal tooling and automation for eval/deploy infrastructure and self-serve recipes.
• Shape the product roadmap by channeling accounts’ needs into Baseten's codebase.
• Manage multiple accounts, align stakeholders, and communicate status and risk.

Skills

Software engineering

Production debugging

Problem ownership

Customer focus

Technical communication

AI inference

On-call readiness

Scale problem solving

Tools

Kubernetes

Slurm

Ray

vLLM

TensorRT-LLM

SGLang

PyTorch

JAX

Job description

Baseten is hiring Forward Deployed Engineers to work with the world’s fastest-growing AI companies, taking technical ownership for workloads from inference to deployment. You’ll collaborate across the model lifecycle, optimize performance, and drive customer success at scale.

You’ll engage with Kubernetes, Slurm, Ray, and modern inference stacks, bringing deep infrastructure expertise and a passion for solving complex AI workloads on production systems.