Agentic Builder
Emplifi
| Company | Emplifi |
| Category | Engineering |
| Location | Czech Republic (Prague |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 13 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Emplifi
Emplifi is the only Autonomous CX platform unifying social marketing, commerce, and customer care for more than 20,000 brands worldwide. Powered by Fuel AI, built on more than 5T of data, and recognized as a leader by leading industry analysts, Emplifi helps enterprise teams orchestrate connected customer journeys and deliver personalized experiences at scale, turning every customer touchpoint into a competitive advantage.
About the Role
We're not running an AI pilot. We're not building a chatbot. We're systematically rebuilding repeatable workflows across Sales, Marketing, Finance, Customer Success, HR, Legal, and Operations on an AI-native foundation. We call this initiative AI Pioneer , and it is the defining internal transformation program at Emplifi.
The Agentic Builder is at the heart of that transformation. Embedded directly within business teams, you'll rapidly turn business problems into working AI solutions by building agents, workflows, automations, and integrations that deliver measurable impact.
You'll operate within a federated model: a small central AI team provides shared infrastructure, governance, and engineering standards, while you own solution discovery, delivery, and adoption within your business function. You'll partner closely with AI Engineers to scale successful solutions into production when needed.
This is not a consulting role. You don't recommend and move on—you build, you ship, and you own, whether it works.
What You'll Do Here
Discover & Design
Embed within business teams to map existing workflows, identify automation opportunities, and prioritise by impact and feasibility
Translate business goals into concrete agentic workflow specifications — defining inputs, outputs, decision logic, and human-in-the-loop touchpoints
Build & Deploy
Design and ship end-to-end AI solutions using the fastest appropriate approach — combining code-first development (Python, JavaScript), agent frameworks, APIs, and low-code/no-code platforms (n8n, Make, Zapier, or equivalent)
Build agents, automations, and workflow systems that solve specific business problems and can be rapidly tested, improved, and scaled
Engineer prompts as production assets — versioned, evaluated, regression-tested. Not vibes. Reusable prompt chains over one-shot cleverness
Build integrations between AI solutions and existing business systems using APIs and modern integration patterns
Leverage AI coding assistants to accelerate development while maintaining ownership of code quality, reliability, and maintainability
Embed & Enable
Act as the in-team AI expert for your assigned function — training colleagues, documenting workflows, and building institutional knowledge
Collaborate closely with AI Engineers and the AI Pioneer Governance team to review, harden, and transition solutions requiring production infrastructure, security review, or advanced engineering support
Iterate & Scale
Maintain and improve shipped workflows based on usage feedback; establish monitoring, fallback logic, and human escalation paths
Surface reusable patterns and components across functions, and contribute to the organisation's agentic playbook
What You'll Bring to Us
We recognize this is an emerging role, and titles vary widely across the industry. We're more interested in evidence of building than a specific career path. Show us what you've shipped — automations, agents, integrations, AI-powered workflows, or other solutions that delivered real business value.
Technical & AI Engineering Foundations
Production-grade prompt engineering: systematic, versioned, regression-tested, and eval-gated before release — not just demo-proven
Writes and maintains Python and/or JavaScript at a production level, with strong leverage of AI coding assistants; fluent across code-first and low-code environments, and knows when each is the right call