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AI Operations Engineer

Cachet · Tallinn, Harjumaa, 10134, Estonia · Active · BambooHR

Job facts

FieldValue
CompanyCachet
TitleAI Operations Engineer
Normalized title-
Department / teamIT
LocationTallinn, Harjumaa
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-29 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Cachet.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Tallinn.Open
Department jobsActive postings in IT.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCachet
Source1de5ead2-5888-40b8-8573-4312225dc9c5
ATS providerBambooHR

Description

Cachet is building the insurance infrastructure to let Europe's platform economy thrive. We design and operate smart, data-driven insurance solutions for shared mobility and digital platforms - enabling fairer pricing, flexible coverage, and real-time risk insights. As our first dedicated AI Operations Engineer, you aren't just joining a team, you are defining how the entire company works. You will transform how Cachet operates internally: replacing manual, repetitive work with intelligent, automated workflows that let our people focus on what actually matters. The Mission You will embed across every team at Cachet, understand how we work at the detail level, and build the AI-powered infrastructure that makes us dramatically more efficient. This is equal parts listening, research, and engineering, you'll spend real time with stakeholders, earn their trust, diagnose what's broken or slow, and then ship something that fixes it. You will do the workflow diagnosis. You will shadow real work, spot inefficiencies, identify broken loops, and turn messy human processes into sharper, AI-augmented systems. You won't be handed a spec, you'll generate it yourself, from the ground up, by understanding what people actually do every day. On top of that, you'll build and maintain what we call the AI Brain: company-level intelligence systems that help Cachet remember decisions, retrieve context, avoid repeated work, and compound institutional knowledge in the right direction. This isn't just automation, it’s infrastructure for how we think and operate as an organisation. Reporting directly to the CTO, you'll work within a clear strategic direction and have real autonomy in how you get there. You'll help shape how Cachet thinks about and works with AI internally, with leadership close enough to unblock you and trust you to execute. Your Tech Stack & Toolkit Languages: Expert-level Python; comfortable working across APIs and integration layers AI/ML: LLMs in production (OpenAI, Anthropic, or similar); agent frameworks (LangChain, LangGraph, n8n, or equivalent); workflow automation tooling Infrastructure: AWS (ECS/EKS, Bedrock), Docker; comfortable building and deploying production-grade tooling SaaS integrations: Slack, Notion, Google Workspace, HubSpot, and whatever else teams depend on Scope: 50% building internal tools, agents, and automations — 30% stakeholder discovery, research, and tooling evaluation — 20% cross-functional collaboration with Engineering, Ops, and Leadership. What Success Looks Like 3 Months: You've done the discovery. You know where the biggest manual bottlenecks are across every team. The internal AI ops stack is defined and the first tools are live. 6 Months: Multiple teams are running on AI-assisted workflows. Measurable hours saved per week. You're known across the company as the person who makes things faster and smarter. 12 Months: AI ops is established as a core pillar of how Cachet runs. You've moved from individual automations to a mature internal platform other teams can build on. You've documented the playbook, demonstrated clear ROI, and started thinking about what comes next. What We Expect from You Mid+ or senior engineer with hands-on experience building with LLMs in production Build and maintain company-level intelligence systems that help Cachet remember decisions, retrieve context, avoid repeated work, and compound institutional knowledge in the right direction Proven ability to build and ship internal tools, agents, or automations end-to-end Comfortable with AWS and containerization; you can own infrastructure, not just code Experience integrating with SaaS tooling and internal APIs You default to building rather than workarounds and you know when not to build As comfortable in a 1:1 with a non-technical colleague as you are in a terminal, you translate between "here's a problem" and "here's what I'll ship" The Nice-to-Haves Experience in an AI platform, internal tools, or developer productivity role Background in Fintech, Insurance, or another regulated industry Experience with agent frameworks (LangGraph, CrewAI, OpenClaw) or AWS Bedrock Background in a startup or scale-up where you owned architectural decisions Recruitment steps HR meeting 30min CTO tech meeting 1h CEO meeting 30 min Background check Offer The applications will be reviewed on a rolling basis.

Full job record

Job ID5aea45bb4136e4ade1156d82ecd2f450dc13653f
Org IDa77982da-793c-45b2-8db9-7da595394e75
Source ID1de5ead2-5888-40b8-8573-4312225dc9c5
Board ID1de5ead2-5888-40b8-8573-4312225dc9c5
Providerbamboohr
Provider Job Key57
TitleAI Operations Engineer
Normalized Title
Statusactive
Activeyes
Location TextTallinn, Harjumaa, 10134, Estonia
DepartmentIT
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
RegionHarjumaa
CityTallinn
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://cachet.bamboohr.com/careers/57
Apply URLhttps://cachet.bamboohr.com/careers/57
First Seen At2026-05-30 05:43:51Z
Last Seen At2026-06-06 10:29:34Z
Last Checked At2026-06-06 10:29:34Z
Last Changed At2026-05-30 05:43:51Z
Inactive At
Source Posted At2026-05-29 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=cachet/date=2026-06-06/2026-06-06T10-29-32-758Z-04a8bfb7574d639accb35845c245c3fda0a5e4177dfd2d0ab9499ee3f7b6ee3b.json
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    "description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Cachet is building the insurance infrastructure to let Europe's platform economy thrive. We design and operate smart, data-driven insurance solutions for shared mobility and digital platforms - enabling fairer pricing, flexible coverage, and real-time risk insights.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">As our first dedicated AI Operations Engineer, you aren't just joining a team, you are defining how the entire company works. 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You will shadow real work, spot inefficiencies, identify broken loops, and turn messy human processes into sharper, AI-augmented systems. You won't be handed a spec, you'll generate it yourself, from the ground up, by understanding what people actually do every day.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">On top of that, you'll build and maintain what we call the AI Brain: company-level intelligence systems that help Cachet remember decisions, retrieve context, avoid repeated work, and compound institutional knowledge in the right direction. This isn't just automation, it’s infrastructure for how we think and operate as an organisation.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Reporting directly to the CTO, you'll work within a clear strategic direction and have real autonomy in how you get there. 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You know where the biggest manual bottlenecks are across every team. The internal AI ops stack is defined and the first tools are live.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">6 Months:</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> Multiple teams are running on AI-assisted workflows. Measurable hours saved per week. You're known across the company as the person who makes things faster and smarter.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">12 Months:</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> AI ops is established as a core pillar of how Cachet runs. You've moved from individual automations to a mature internal platform other teams can build on. You've documented the playbook, demonstrated clear ROI, and started thinking about what comes next.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 14pt\">What We Expect from You</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Mid+ or senior engineer with hands-on experience building with LLMs in production</span></li>\n<li><span style=\"color: rgb(29, 28, 29); font-family: Arial, sans-serif; font-size: 10pt\">Build and maintain company-level intelligence systems that help Cachet remember decisions, retrieve context, avoid repeated work, and compound institutional knowledge in the right direction</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Proven ability to build and ship internal tools, agents, or automations end-to-end</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Comfortable with AWS and containerization; you can own infrastructure, not just code</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience integrating with SaaS tooling and internal APIs</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">You default to building rather than workarounds and you know when not to build</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">As comfortable in a 1:1 with a non-technical colleague as you are in a terminal, you translate between \"here's a problem\" and \"here's what I'll ship\"</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 14pt\">The Nice-to-Haves</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience in an AI platform, internal tools, or developer productivity role</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Background in Fintech, Insurance, or another regulated industry</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with agent frameworks (LangGraph, CrewAI, OpenClaw) or AWS Bedrock</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Background in a startup or scale-up where you owned architectural decisions</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 14pt\">Recruitment steps</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">HR meeting 30min</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">CTO tech meeting 1h</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">CEO meeting 30 min</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Background check </span><br></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Offer </span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">The applications will be reviewed on a rolling basis.<br></span></p>",
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