> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # AI Engineer Canonical URL: https://nextmove.md/fde/jobs/738b7098fab36184 Baseten posts a FDE role to build for teams inside the company in San Francisco, CA, at $175,000–$190,000 base, level with the senior FDE median of $190,000 across 1,864 postings with pay. This AI Engineer will build and operate AI-powered workflows for Baseten's Compute and C3 teams, helping manage GPU capacity through automation, operational insights, and integrations. Read from the employer’s posting on November 8, 2026. - [Baseten](https://nextmove.md/fde/companies/baseten) Posted Sep 10, 2026 by Baseten · open on Ashby as of Nov 8, 2026 **$175,000–$190,000** + equity San Francisco, CA Hybrid Full-time This AI Engineer will build and operate AI-powered workflows for Baseten's Compute and C3 teams, helping manage GPU capacity through automation, operational insights, and integrations. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F738b7098fab36184&placement=top) - [View posting at Baseten](https://jobs.ashbyhq.com/baseten/64181d8a-960d-4aa4-8d98-3cb22b1e0616/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $175K–$190K Level with the median Midpoint $183K · median $190K This job $175K to $190K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **3+ years** AI/automation engineering, workflow automation, or technical operations Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 3+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in San Francisco, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: Hybrid - **Employment type**: Full-time - **Pay**: ## More like this [AssemblyAI](https://nextmove.md/fde/companies/assemblyai) ### [Senior GTM AI Engineer](https://nextmove.md/fde/jobs/f11b9f241b74e158) San Francisco, CA 2mo ago $160,000–$220,000 [Decagon](https://nextmove.md/fde/companies/decagon) ### [AI Acceleration Engineer](https://nextmove.md/fde/jobs/33936cf53f20218a) San Francisco, CA On-site 2mo ago $180,000–$220,000 [Equinix](https://nextmove.md/fde/companies/equinix) ### [GTM Engineer: Pipeline and Revenue Generation](https://nextmove.md/fde/jobs/5030fdade8f5d9ce) Dallas, TX · Redwood City, CA · +3 more 5mo ago $131,000–$245,000 - [Other jobs at Baseten (3)](https://nextmove.md/fde/companies/baseten) ## The job description from Baseten Posted by Baseten on Sep 10, 2026 ### ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. ### THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. ### RESPONSIBILITIES - **Ship AI-powered workflows for Compute and C3**: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - **Get insights in front of the team**: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - **Audit the stack and generate your own backlog**: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - **Ship team-productivity workflows fast**: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - **Know when to go custom**: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - **Think in systems, not solutions**: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - **Integrate third-party APIs and internal systems to sync events and information across disparate tools**: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - **Document what you build**: if people can't find it, understand it, or trust it, it doesn't matter how well it works. ### REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments ### NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company ### BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. **Apply now** to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. *At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.* *We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).* [View posting at Baseten](https://jobs.ashbyhq.com/baseten/64181d8a-960d-4aa4-8d98-3cb22b1e0616/application) ## About 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. Series E · 200–500 people ## Similar jobs [Harper](https://nextmove.md/fde/companies/harper) ### [Forward Deployed Operations](https://nextmove.md/fde/jobs/80b7ff167e547412) San Francisco, CA On-site 4mo ago $125,000–$175,000 [Google](https://nextmove.md/fde/companies/google) ### [AI Tooling Technical Solutions Consultant, GSRS Security Systems and Technology](https://nextmove.md/fde/jobs/b06d4e026bdf987b) Sunnyvale, CA · Austin, TX · +5 more 2w ago $152,000–$221,000 [Arcadia Science](https://nextmove.md/fde/companies/arcadia-science) ### [Software Engineer - Full Stack](https://nextmove.md/fde/jobs/3d2b1c651a50a087) Emeryville, CA On-site 3mo ago $160,000–$195,000 [Snowflake](https://nextmove.md/fde/companies/snowflake) ### [Senior AI Engineer, Enterprise](https://nextmove.md/fde/jobs/0d220a193506cf5d) Menlo Park, CA 3mo ago $156,000–$224,200 [Retell AI](https://nextmove.md/fde/companies/retell-ai) ### [Founders Initiatives, Technical Ex-Founders](https://nextmove.md/fde/jobs/1fef50e3f27a227b) Redwood City, CA On-site 5mo ago $180,000–$300,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment) Hiring at Baseten and want this page changed or removed? 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