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Описание вакансии
Текст:
TL;DR
AI Engineer (AI/LLM Agents): Building and shipping agentic product experiences, internal AI tooling, and customer-facing features for training and post-training frontier models with an accent on reliable execution flows, guardrails, and end-to-end product development. Focus on designing evals for output quality, turning research workflows into production features, and building automation across APIs, backends, agent orchestration, and frontends.
Location: San Francisco, hybrid
Salary: $220K–$260K annually, plus equity
Company
Baseten provides applied AI research, inference infrastructure, and developer tooling that help AI companies bring cutting-edge models into production.
What you will do
- Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype through general availability.
- Design reliable AI harnesses, execution flows, guardrails, and agent orchestration for production systems.
- Build internal automation and AI tooling that increases the velocity of engineering, research, and go-to-market teams.
- Partner with research engineers to turn internal research workflows into customer-facing features.
- Define and instrument evaluations to measure improvements in AI output quality.
- Implement end-to-end features across APIs, backend services, agent orchestration, and frontend interfaces, while resolving bugs and customer issues.
Requirements
- 5+ years of experience building and shipping software applications.
- Demonstrated experience building AI- or LLM-powered products, agents, or agentic workflows used by real users.
- Strong software engineering fundamentals and the ability to understand system, model, and harness behavior under the hood.
- Proficiency in Python and fluency in at least one other programming language.
- Ability to work autonomously in a fast-moving environment and move between customer-facing products and internal tooling.
- Strong communication skills for bridging technical depth and business needs.
Nice to have
- Founding engineer or early-stage startup experience.
- Experience building evaluations, agent observability, or tooling for non-deterministic systems.
- Familiarity with LangChain, Claude Code, Codex, OpenCode, or MCP.
- Experience with supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, or full fine-tuning.
- Frontend fluency.
Culture & Benefits
- Competitive compensation with meaningful equity.
- Medical, dental, and vision insurance fully covered for employees and dependents.
- Flexible PTO and a company-wide Winter Break when offices are closed from Christmas Eve through New Year's Day.
- Paid parental leave and a fertility and family-building stipend.
- Company-facilitated 401(k) and exposure to a variety of ML startups.
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