Level

Baseten

AI Engineer

Baseten is hiring an AI Engineer for a remote role open to applicants in United States. It pays $220k-$260k a year and Level rates it ; you can apply on Baseten.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
  • The listed pay starts 19% above the typical AI engineer posting on Level.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Claude, LangChain and Cursor.
  • Level lists 106 other open roles at Baseten.

AI in this role

Build and ship agentic product experiences and internal AI tooling to make teams faster at Baseten.

claudelangchaincursorclaude-codecodexclaypython
ai-agentsfine-tuningai-researchagent-architecturemlopsprompt-engineering

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

Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster.

You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk.

EXAMPLE INITIATIVES

Take a look at these blog posts written by members of our team:

RESPONSIBILITIES

  • Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA.

  • Design the harnesses, execution flows, and guardrails that make AI systems reliable in production.

  • Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams.

  • Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features.

  • Define and instrument evals so you know whether a change actually improved output quality.

  • Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end.

  • Use Baseten's own training and inference products yourself to develop intuition around customer workflows.

  • Identify where AI can replace manual process across the company and build the thing rather than write the proposal.

  • Fix bugs and resolve customer issues with urgency.

REQUIREMENTS

  • 5+ years of experience building and shipping software applications.

  • Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on.

  • Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well.

  • Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on.

  • Proficiency in Python, with fluency in at least one other language.

  • Comfort working autonomously in a fast-moving environment with limited structure.

  • Ability to move between customer-facing product work and internal tooling and automation.

  • Strong communication skills, with the ability to bridge technical depth and business needs.

NICE TO HAVE

  • Experience as a founding engineer or early employee at a startup.

  • Experience building evals, agent observability, or tooling for non-deterministic systems.

  • Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP).

  • Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes.

  • Frontend fluency.

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).

How we rate this

AI Engineer at Baseten rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsFine-tuningAI ResearchAgent ArchitectureMLOpsPrompt engineeringClaudeLangChain

Also common in AI engineer jobs at this level

Pay

This job starts at
$220k
Typical AI engineer job
$185k

This posting starts 19% above the typical AI engineer job. See AI engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  3. Tell me about a research question you investigated. What did you find?
  4. Tell me about a project where agent architecture was part of your work. What did you do?
  5. Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Fine-tuning, AI Research, Agent Architecture, and MLOps. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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