AI Platform Engineer (EU/UK Based - Remote)

Site Reliability Engineer (EU/UK Based - Remote)

Duvo

WHO WE ARE Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky. We're a fast-moving team on a mission to end it for good. Traction is strong and we're solving real problems for real customers—but to win, we need exceptional talent. We stay humble, do the work, and let results speak. WHAT WE ARE BUILDING We're building the AI operations platform for retail and CPG enterprises—a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in. Where copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. We start with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expand to adjacent functions and sectors. Velocity is our moat: ship fast, iterate faster, compound learning. THE ROLE You will own the reliability, security, and infrastructure that lets our platform run AI agents for enterprise customers. This isn't traditional web app SRE — our agents execute arbitrary code in sandboxes, make unpredictable external API calls, and run for hours. Keeping this reliable, secure, and observable is the job. You'll be part of newly formed SRE team as one of the first teammembers. Infrastructure is currently owned collectively by product engineers — you'll take ownership, inherit real infrastructure (25+ Terraform modules, full OpenTelemetry pipeline, Prometheus/Grafana monitoring), and build the reliability practice from scratch. Your unit of ownership: platform reliability, infrastructure, observability, and incident response. You own sandbox infrastructure and capacity; the AI Platform Engineer owns sandbox behavior and runtime logic. We're a growing product team scaling into multiple initiatives, each with a lead, engineers, a design engineer, and an AI-focused engineer. WHAT WE'RE LOOKING FOR These are non-negotiables—the things we'll specifically evaluate you on: * Distributed systems experience. You've designed and operated systems that scale. You understand failure modes, capacity planning, and the tradeoffs between consistency, availability, and latency in real production environments. * Security mindset. You'll handle enterprise data flowing through sandboxed environments, manage KMS encryption, configure Cloud Armor WAF rules, and ensure network isolation between tenant workloads. Security is a default consideration, not an afterthought. * Observability and incident response. You build monitoring and alerting that catches problems before customers do. When incidents happen, you lead structured responses, find root causes, and drive lasting fixes — not just restarts. * Infrastructure as code and automation. You automate everything you can. You've worked with IaC tools, CI/CD pipelines, and container orchestration in production. Manual runbooks make you uncomfortable. * Shipping and ownership. You don't just maintain systems — you improve them. You take ownership of reliability projects from proposal to production, and you measure the results. * Judgment on where to invest. You'll decide what to automate first, where to invest in reliability vs. ship speed, and make incident calls with incomplete information. YOU MIGHT ALSO * Have experience with GCP, Kubernetes, or similar cloud-native infrastructure. * Have worked with sandboxed execution environments or multi-tenant isolation. * Be comfortable with AI/ML production systems — understanding the unique reliability challenges of LLM-based applications. * Have a product engineering background — you've built features and understand the developer experience you're supporting. THIS IS NOT FOR YOU IF * You want a traditional ops role where you follow runbooks — we're building the reliability practice, not maintaining one. * You want to build AI features — see AI Platform Engineer. OUR TECH STACK * GCP (Cloud Run, GKE, GCS) * Terraform, Docker * Prometheus, Grafana, Loki, OpenTelemetry * TypeScript and Python services (you'll read and occasionally modify application code, but deep language expertise isn't required) * Postgres, Redis HOW WE WORK These are real tradeoffs we've made, not aspirations: * Initiative-driven. We organize around customer problems, not org charts. Problems surface through product feedback, competitive analysis, and direct customer conversations — then we prioritize, build, and ship weekly. * Customer-obsessed. We solve real problems, not hypothetical ones. Features that don't move customer metrics get cut. * Iterative by default. We ship small, learn fast, and never get attached to yesterday's code. This means things break sometimes — we fix forward. * AI-first leverage. We use AI to move faster and focus human time where it matters most. If a tool can do it, a person shouldn't. * Direct feedback. We give each other actionable feedback immediately. This can feel uncomfortable — we think that's worth it. * Autonomy with accountability. We trust people to make decisions and hold them to outcomes, not process. WHAT WE OFFER * Unlimited AI budget. We don't just allow AI tools — we strongly encourage them. Want to try a new tool? Buy it. Want to automate part of your workflow? Do it. * Autonomy to do your best work. Want to meet someone to learn from? Set it up. Want a mentor? Go get one. Want to fly out to talk to an important customer? Just ask. * A real AI product with real customers. You're not building demos or internal tools. Enterprise customers use what you ship, and their feedback drives what you build next. * A sharp, motivated team that values ownership and candor. * Compensation 250.000,- CZK / month with a meaningful equity component. You can trade salary for additional equity if you prefer more upside. HOW WE HIRE We respect your time and aim to move fast: 1. Discovery call with a senior teammember (online, 30 min). We'll talk about you, how you think and whether there's mutual fit. 2. Remote task (async, time-boxed, ~1 hour). Build a small product end-to-end. Not LeetCode. 3. Technical interview (online, ~1 hour). Meet the team. We'll go deeper on your experience, system design, product thinking, and collaboration. No trick questions — we want to see how you think and build. 4. On-site trial day (2 days). Ship something small to production with us and see how we work together. Fully compensated.

Product Engineer (EU/UK Based - Remote)

Duvo

WHO WE ARE Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky. We're a fast-moving team on a mission to end it for good. Traction is strong and we're solving real problems for real customers, but to win, we need exceptional talent. We stay humble, do the work, and let results speak. WHAT WE ARE BUILDING We're building the AI operations platform for retail and CPG enterprises—a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in. Where copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. We start with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expand to adjacent functions and sectors. Velocity is our moat: ship fast, iterate faster, compound learning. THE ROLE You will own end-to-end product features—from user-facing UI to API to data to deployment. You're the kind of engineer who connects technical choices to customer outcomes and ships with high velocity under ambiguity. Your unit of ownership: user-facing features and the systems behind them, delivered to production and measured against customer impact. WHAT WE'RE LOOKING FOR These are non-negotiables. The things we'll specifically evaluate you on: * Shipping and ownership. You've repeatedly taken ambiguous requirements to production. You own the full stack of a feature (UI, API, data, deployment) and you don't wait for someone to tell you what to build next. * Product judgment. You can define MVP scope, pick the right metric to move, and kill work that isn't delivering value. You think about what the user needs, not just what's technically interesting. * AI comfort. You've worked alongside AI systems—at work or in side projects. You're comfortable building features that interact with LLM outputs (parsing agent responses, designing human-in-the-loop flows), but you won't be training models. * Strong sense of product quality. You care about the details of how a feature looks and feels, not just whether it works. You notice when something is off and you fix it. * Collaboration. You're low-ego and team-first. You give and receive direct and constructive feedback, align proactively with product and design, and unblock yourself and others. * Judgment in a fast-moving environment. You'll often define your own scope based on customer problems surfaced through product feedback and competitive gaps — then ship it within a week. YOU MIGHT ALSO * Have a strong sense for security and reliability in production systems. * Have scalable, distributed-system instincts—you've designed and operated systems that scale. * Have deep applied LLM experience—evaluation design, prompt engineering, safety controls, and cost optimization in production. * Have experience designing interfaces for AI-assisted workflows — confidence signals, human-in-the-loop interactions. THIS IS NOT FOR YOU IF * You need significant hand-holding or aren't energized by figuring things out yourself. * You primarily want to work on infrastructure (see our SRE and AI Platform Engineer roles). OUR TECH STACK * TypeScript-first: Next.js, React, Tailwind, Fastify, Kysely (PostgreSQL), Zod * GCP * Latest AI primitives You don't need to know all of these, but you should be excited to learn them quickly. HOW WE WORK These are real tradeoffs we've made, not aspirations: * Initiative-driven. We organize around customer problems, not org charts. Problems surface through product feedback, competitive analysis, and direct customer conversations — then we prioritize, build, and ship weekly. * Customer-obsessed. We solve real problems, not hypothetical ones. Features that don't move customer metrics get cut. * Iterative by default. We ship small, learn fast, and never get attached to yesterday's code. This means things break sometimes — we fix forward. * AI-first leverage. We use AI to move faster and focus human time where it matters most. If a tool can do it, a person shouldn't. * Direct feedback. We give each other actionable feedback immediately. This can feel uncomfortable — we think that's worth it. * Autonomy with accountability. We trust people to make decisions and hold them to outcomes, not process. WHAT WE OFFER * Unlimited AI budget. We don't just allow AI tools — we strongly encourage them. Want to try a new tool? Buy it. Want to automate part of your workflow? Do it. * Autonomy to do your best work. Want to meet someone to learn from? Set it up. Want a mentor? Go get one. Want to fly out to talk to an important customer? Just ask. * A real AI product with real customers. You're not building demos or internal tools. Enterprise customers use what you ship, and their feedback drives what you build next. * A sharp, motivated team that values ownership and candor. * Compensation 250.000,- CZK / month with a meaningful equity component. You can trade salary for additional equity if you prefer more upside. HOW WE HIRE We respect your time and aim to move fast: 1. Discovery call with a senior teammember (online, 30 min). We'll talk about you, how you think and whether there's mutual fit. 2. Remote task (async, time-boxed, ~1 hour). Build a small product end-to-end. Not LeetCode. 3. Technical interview (online, ~1 hour). Meet the team. We'll go deeper on your experience, system design, product thinking, and collaboration. No trick questions — we want to see how you think and build. 4. On-site trial day (2 days). Ship something small to production with us and see how we work together. Fully compensated.

Agent Experience Engineer (EU/UK Based - Remote)

Duvo

WHO WE ARE   Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky.   We're a fast-moving team on a mission to end it for good. Traction is strong and we're solving real problems for real customers—but to win, we need exceptional talent. We stay humble, do the work, and let results speak.   WHAT WE ARE BUILDING   We're building the AI operations platform for retail and CPG enterprises—a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in.   Where copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. We start with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expand to adjacent functions and sectors.   Velocity is our moat: ship fast, iterate faster, compound learning.   THE ROLE   Think Developer Experience, but for agents — you own the experience of the agents that build and run Duvo.   As an Agent Experience Engineer (AX), your job is engineering-team efficiency. You make our agents fast, correctly wired, and easy to run end-to-end. The speed of the build/run loop is the product: when agents can iterate faster, Duvo moves faster.   This role owns the plumbing that everything else runs on: CI/CD, the monorepo, agent tooling, and the environments that let agents drive the real app. You'll also build agents and internal workflow apps around deployments, runs, and CI/CD — the meta-layer that helps engineers and agents stay in flow.   WHAT WE'RE LOOKING FOR   These are non-negotiables—the things we'll specifically evaluate you on:   * CI/CD mastery. You've built and maintained fast, reliable build/run pipelines. You understand where time is lost and how to get it back. * Tooling and infrastructure. You own the monorepo, build systems, and developer tooling. You think about ergonomics for both humans and agents. * Self-hostable environments. You can set up cloud desktop or browser-in-browser environments so agents can drive the real web app — enabling strong end-to-end tests without brittle mocks. * Agent wiring. You understand what it takes to connect an agent to the right resources: internal sites, tools, APIs, actions, and pipelines. You wire things correctly and maintain that wiring as the platform evolves. * Tight feedback loops. You care deeply about making things runnable from anywhere — local, CI, staged — with fast, useful feedback. * Building agents and workflow apps. You build internal tooling — agents and apps — around the deployment, run, and CI/CD surface. The meta-layer isn't an afterthought; it's part of what you own.   YOU MIGHT ALSO   * Have experience with SRE, platform engineering, or DevEx. * Have worked on systems where agents or automation (not just humans) are first-class users of your tooling. * Care about how data and internal systems are accessed — you'll also shape how agents access and act on internal data and entities. * Have worked with monorepo tooling (Nx, Turborepo, Bazel, etc.). * Have experience with cloud desktop or headless browser environments.   THIS IS NOT FOR YOU IF   * You want to build product features end-to-end — see Product Engineer or Tech Lead. * You're not interested in going deep on tooling, infrastructure, and developer experience.   OUR TECH STACK   * TypeScript-first * React and Fastify * Postgres, GCP * Latest AI primitives   HOW WE WORK   * Initiative-driven. Organize around customer problems, not org charts. * Customer-obsessed. Features that don't move customer metrics get cut. * Iterative by default. Ship small, learn fast, fix forward. * AI-first leverage. If a tool can do it, a person shouldn't. * Direct feedback. Actionable feedback, given immediately. * Autonomy with accountability. Outcomes over process.   WHAT WE OFFER   * Unlimited AI budget. * Autonomy to do your best work. * A real AI product with real customers. * A sharp, motivated team that values ownership and candor. * Competitive compensation with a meaningful equity component.   HOW WE HIRE 1. Hiring manager screen (30 min). 2. Remote task (async, time-boxed, ~1 hour). 3. Technical interview (online, ~1 hour). 4. On-site trial day (Prague, 2 days), fully compensated.