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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in scaling AI-powered conversational assistants, with a focus on customer-facing LLM products and iterative improvements. Proficient in establishing evaluation frameworks and ensuring compliance while maintaining high-quality standards.
Highest-signal resume keywords
Customer-Facing LLM Product DevelopmentEnd-to-End Conversational Flow MasteryEvaluation Framework EstablishmentTechnical Fluency in RAG and EmbeddingsNative Fluency in Colombian Spanish
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Conversational AIProduct ScalingQuality Threshold DefinitionTest Set CreationAI Deployment in High-Stakes EnvironmentsHuman Handoffs ImplementationPrivacy Protection MechanismsFailure HandlingIterative ImprovementPrompting Techniques
Soft Skills
Cross-Functional CollaborationCommunication SkillsProblem-Solving
Tools & Technologies
Modern AI ToolsLLM-Judge Frameworks
Industry Keywords
Conversational InterfacesCustomer Satisfaction (CSAT)Compliance ProtocolsAction Confirmation MechanicsCost Savings Analysis
About the role
Key responsibilities & impact- Scale Addri, Addi’s AI-powered conversational assistant, from a support-focused prototype into the primary unified in-app interface
- Enable customers to shop, manage credit, make payments, and resolve issues through conversational interactions
- Launch Addri in-app and establish a continuous review cadence
- Increase AI resolution rates and CSAT while reducing support ticket load
- Launch product discovery and purchase-assist flows to improve task completion and conversion
- Deploy credit line, balance, and payment flows with high response accuracy and strict escalation guardrails
- Build test sets, LLM-judge frameworks, and pre-launch quality gates
- Partner with Risk, Data, and Legal on grounding data sources, action confirmation mechanics, and compliance protocols
- Deliver a business case quantifying cost savings and conversion impact to guide future investment
- Participate in recruiter, hiring manager, cross-functional, live business case, and founder interviews
Requirements
What you’ll need- Track record of shipping customer-facing LLM products (assistants, agents) beyond demos
- Mastery of end-to-end conversational flows and failure handling
- Proven ability to scale early-stage products and drive iterative post-launch improvements
- Deep experience establishing evaluation frameworks, including test sets, LLM-as-a-judge, and human review
- Experience defining strict quality thresholds per use case
- Technical fluency in RAG, embeddings, prompting, and tool-use
- Experience deploying AI in high-stakes environments
- Experience implementing human handoffs, privacy protections, and safety limits for critical actions
- Native fluency in Colombian Spanish
- Fluent professional English
- Active hands-on usage of modern AI tools
- Ability to stay current with model capabilities, limitations, and industry developments
Benefits
Comp & perks- Generous salary
- Equity in the company
- Benefits that go beyond the basics
- Opportunity to influence company technology, strategy, culture, and values
- Work alongside top-tier talent from around the world
- Fast, transparent, and engaging hiring experience
- Feedback provided regardless of hiring outcome