Home › Companies › Cachet › AI Operations Engineer
AI Operations Engineer
Cachet · Tallinn, Harjumaa, 10134, Estonia · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Cachet |
| Title | AI Operations Engineer |
| Normalized title | - |
| Department / team | IT |
| Location | Tallinn, Harjumaa |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-29 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Cachet. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Tallinn. | Open |
| Department jobs | Active postings in IT. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Cachet |
| Source | 1de5ead2-5888-40b8-8573-4312225dc9c5 |
| ATS provider | BambooHR |
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 ID | 5aea45bb4136e4ade1156d82ecd2f450dc13653f |
| Org ID | a77982da-793c-45b2-8db9-7da595394e75 |
| Source ID | 1de5ead2-5888-40b8-8573-4312225dc9c5 |
| Board ID | 1de5ead2-5888-40b8-8573-4312225dc9c5 |
| Provider | bamboohr |
| Provider Job Key | 57 |
| Title | AI Operations Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Tallinn, Harjumaa, 10134, Estonia |
| Department | IT |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | Harjumaa |
| City | Tallinn |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://cachet.bamboohr.com/careers/57 |
| Apply URL | https://cachet.bamboohr.com/careers/57 |
| First Seen At | 2026-05-30 05:43:51Z |
| Last Seen At | 2026-06-06 10:29:34Z |
| Last Checked At | 2026-06-06 10:29:34Z |
| Last Changed At | 2026-05-30 05:43:51Z |
| Inactive At | — |
| Source Posted At | 2026-05-29 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://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. You will transform how Cachet operates internally: replacing manual, repetitive work with intelligent, automated workflows that let our people focus on what actually matters.</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\">The Mission</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</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. 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.</span></p>\n<p><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\">Your Tech Stack & Toolkit</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Languages:</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> Expert-level Python; comfortable working across APIs and integration layers</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">AI/ML:</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> LLMs in production (OpenAI, Anthropic, or similar); agent frameworks (LangChain, LangGraph, n8n, or equivalent); workflow automation tooling</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Infrastructure:</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> AWS (ECS/EKS, Bedrock), Docker; comfortable building and deploying production-grade tooling</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">SaaS integrations:</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> Slack, Notion, Google Workspace, HubSpot, and whatever else teams depend on</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Scope:</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> 50% building internal tools, agents, and automations — 30% stakeholder discovery, research, and tooling evaluation — 20% cross-functional collaboration with Engineering, Ops, and Leadership.</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\">What Success Looks Like</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">3 Months:</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> 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.</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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