高级AI工程师（远程，合同）
Senior AI Engineer (Remote, Contract)
我们的招聘流程：
- 我们会根据职位要求审核您的申请。在这一阶段，我们不使用机器学习技术，因为我们相信每个人都值得来自人类的关注。我们认为机器无法像我们经验丰富的招聘人员那样评估您的申请——每个人都是独特的。我们承诺对您的候选资格进行公平且详细的评估。
- 然后，我们可能会邀请您提交一段视频面试，供招聘经理审核。这段视频面试通常会接续一个测试或简短项目，以确定您是否适合我们的团队。
- 此时，我们会邀请您与招聘经理和/或面试团队进行面试。请注意：我们不通过短信、Telegram等进行面试，也从未在没有与您面对面（或通过Zoom）见面的情况下雇佣任何人。您将被邀请参加一次现场会议或Zoom会议，届时您将与我们的INFUSE团队见面。
- 之后就是做决定的时候了！如果您仍然渴望加入INFUSE，而我们也同样喜欢您，我们将就您的录用通知进行一次对话。我们不会在没有给您与我们进行实时交流机会的情况下提供录用通知。
INFUSE致力于遵守适用的数据隐私和安全法律法规。更多信息，请参阅我们的隐私政策。
我们正在寻找高级AI工程师，负责设计、构建和运行基于大语言模型（LLM）的代理和AI功能。您将参与整个生命周期：从与利益相关者探讨用例，到架构和开发，再到部署、评估和持续改进。
这是一个需要动手实践的角色，适合具有产品负责人思维的工程师：您理解业务问题，能定义成功指标，将产品交付给真实用户，并在发布后负责结果。
我们的技术栈包括：Python和TypeScript/Node.js，PostgreSQL，Kafka，Docker，GitHub Actions，AWS。我们在共享的LLM网关后面运行多个LLM供应商（Anthropic、OpenAI、Google、AWS Bedrock等），并使用MCP进行工具访问。我们采用原生AI方式工作：代理编码工具是这里工程工作的一部分，我们还为工程师提供官方的Anthropic Claude认证。
作为我们团队的一员，您在此职位上的职责将包括：
- 设计和构建LLM代理和代理工作流：通过MCP使用工具、结构化输出、检索（RAG）、多步骤编排，以及在需要时的人工审核步骤。
查看英文原文
OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
- Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
- Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
- Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
- Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
- Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
- Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
- Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
- 5+ years of software engineering experience, with production systems you've designed, shipped and supported.
- Proven experience building LLM-based agents or agentic workflows that reached production with real users.
- Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
- Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
- Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
- Strong Python and SQL. Comfortable in TypeScript/Node.js.
- Solid production engineering on AWS: Docker, CI/CD, testing, observability.
- Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
- Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
- Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
- LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
- B2B contact and company data: enrichment, deduplication, matching.
- Cloud operations or FinOps: monitoring, incident handling, cost management.
- Event-driven or workflow-engine experience (Kafka, Temporal or similar).
- Experience replacing no-code or workflow-tool automations with production code.
What we offer:
- Fully remote work format;
- A collaborative and creative environment that values initiative and experimentation;
- Paid time off and sick leave;
- Reduced working hours on Fridays during the summer;
- Days-off on US national holidays + your birthday;
- Schedule: 14 PM - 23 PM EEST (Kyiv time).
Originally posted on Himalayas