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FDE jobs at Baseten

Inference platform for AI-native teams to deploy, optimize, and operate open-source, custom, and fine-tuned models across dedicated, API, and training workflows.

Later private · About 201–1,000 people · AI infrastructure / model inference

4 postings1 metromedian of posted base ranges $248,000

Updated

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How Baseten describes FDE work

All four postings describe production code. 3 of 4 serve external customers. 2 of 4 include pre-sales work. All four are read as senior or staff roles.

Read from the current postings listed here, not from company-wide policy. Compare with all US FDE postings and read the method →

3 of 4 build what the customer runs.

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Baseten's FDE roles connect customer delivery with model serving, training, capacity, and production inference systems.

Baseten's postings include Forward Deployed Engineer roles for training and general delivery, AI Inference Engineer, AI Engineer, Software Engineer–Capacity, and an Engineering Manager for Forward Deployed Engineering. The work sits close to model serving, reliability, latency, cost, and customer production workloads.

A candidate should be ready to discuss both application delivery and the operational tradeoffs of serving models. Ask which training systems and customer workloads the role owns, how production incidents are shared with platform teams, and how much time is spent with customers. The current roles are marked hybrid in San Francisco.

Confirm the in-office cadence, customer travel, and the basis of the posted range for the role. See posted FDE pay and the FDE career path.

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