Product Engineer

Vivid Money

. Own 0-to-1 development of Customer Care conversational systems, including chat, voice/phone, knowledge base, and tool integrations .

Posted 10/22/2026full-timeRemote • Cyprus, Kazakhstan, Spain, Portugal, SerbiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing Customer Care conversational systems, leveraging LLMs and AI tools to enhance user interactions and operational efficiency. Proficient in product management, data analysis, and collaboration across engineering and design teams to deliver impactful solutions.

Highest-signal resume keywords

Product ManagementLLM Application DevelopmentPython ProgrammingData AnalysisCustomer Support Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product ManagementLLM Application DevelopmentPython ProgrammingData AnalysisConversational DesignPrompt EngineeringA/B TestingSystem Architecture EvaluationAutomationKPI Monitoring

Soft Skills

Clear CommunicationSelf-DirectedAnalytical Thinking

Tools & Technologies

GitDatabasesLangfuseKustomerZendeskVoice/Telphony StackAI Agents

Industry Keywords

Customer CareFintechKYC/AMLChargebacksAccount Closure

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own 0-to-1 development of Customer Care conversational systems, including chat, voice/phone, knowledge base, and tool integrations
Decide what to build, why to build it, and how to measure success from discovery through launch and iteration
Design bot architecture with engineers, including agents, routing, tools, internal-system actions, and handoff
Research problems in data, prototype fixes with AI tools, test on real conversations, prove effectiveness, and scale with engineering or through code contributions
Write, test, and iterate prompts, skills, and knowledge so the bot answers correctly, acts safely, and reflects the company voice
Build evaluations that catch regressions before releases
Run A/B tests of models, prompts, and flows; define success metrics and discontinue ineffective approaches
Scale self-service through AI and automation while improving deflection and cost-to-serve without harming CSAT
Define resolved and valid handoff criteria and monitor KPIs including deflection, handoff reasons, resolution quality, CSAT, handling time, and cost per conversation
Write clear, technical, opinionated product specifications and briefs
Challenge and improve escalation policies, back-office processes, and missing tools that block resolution
Prioritize work and collaborate with Engineering, Design, Analytics, QA, Operations, and business owners to ship releases

Requirements

What you’ll need

4+ years in product management, product engineering, or a similar role with strong technical involvement
Meaningful hands-on experience applying LLMs / agentic AI to real products
Proven track record of taking ideas from 0 to a live product with real users
Daily use of LLMs, vibe coding, and AI agents
Proficiency in at least one programming language, such as Python
Comfortable with git, databases, and evaluating system architecture
Strong analytical skills and comfort with data, metrics, and decisions under uncertainty
Clear communication skills in English
Self-directed and able to independently identify priorities
Degree in Computer Science, Software Engineering, or equivalent practical experience
Desired: background in customer support, conversation design, product, or prompt engineering
Desired: side projects with LLM APIs, agents, or automation
Desired: fintech or banking support experience, including cards, transfers, chargebacks, KYC/AML restrictions, or account closure
Desired: experience with LLM observability tools such as Langfuse and helpdesk platforms such as Kustomer or Zendesk
Desired: voice/telephony stack experience, including STT, TTS, and turn detection

Benefits

Comp & perks

Hybrid model in company offices or fully remote outside office locations
Relocation support to Cyprus, including visa and package
Learning & development budget
Fully paid vacation and sick leave
Sports compensation
Real growth prospects and significant responsibility
Immediate impact from day one