Sr Staff ML Forward Deployed Engineer, Enterprise GenAI
Application analysis
Sr Staff ML Forward Deployed Engineer, Enterprise GenAI at Scale AI is a forward deployed ai company role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Forward Deployed Engineer role centers on embedded customer delivery — discovery, prototyping, integration, and production rollout. Key signals from the listing: Kubernetes / containers, AWS, Azure, GCP.
About Scale AI
This company is building AI products where forward deployed engineers translate capabilities into customer outcomes quickly. The role is anchored in London, UK, so expect on-site customer work in that region.
Signals in the listing
Stand out for Sr Staff ML Forward Deployed Engineer, Enterprise GenAI
- Lead your application with one paragraph tying Sr Staff ML Forward Deployed Engineer, Enterprise GenAI to a specific customer or deployment you owned — Scale AI hires for shipped outcomes, not tool lists.
- Prepare a 5-minute “week one on site” plan: who you would meet, what you would inspect in their stack, and what artifact you would deliver by day five.
- Show you can go from discovery notes → working integration → production checklist without needing a large internal team.
- For Kubernetes-heavy roles, describe a cluster you operated: upgrades, networking, secrets, observability, and how you debugged a production outage.
- This role is tied to London, UK — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Scale AI
- Demonstrate rapid prototyping with a concrete example — Scale AI will probe for specifics, not buzzwords.
- Demonstrate customer discovery with a concrete example — Scale AI will probe for specifics, not buzzwords.
- Expect questions about real deployments, safety tradeoffs, and how you partner with customers on week one.
- Read recent engineering blog posts, product launches, and customer stories on scale.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.
You will:
Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL
Experience with Kubernetes
Experience with major cloud providers (AWS, Azure, GCP) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering