AI Developer Relations Engineer (Copy)

Location: Seattle, USA; hybrid work setup

Starting base salary: $193,000–$213,000 USD annually, depending on experience and skill set; equity and bonus are also included in the compensation package.

Company

Builds an AI-powered conversational financial platform for Latinos in the US, initially focused on remittances and expanding into credit, savings, and wallet services using real-time financial infrastructure and crypto rails.

What you will do

• Translate AI priorities into technical plans with requirements, milestones, success metrics, acceptance criteria, and owners.
• Convert incomplete briefs into testable hypotheses, baselines, experiments, and measurable outcomes.
• Coordinate dependencies and technical decisions across Engineering, Product, Data, FDE, AI Enterprise, and platform teams.
• Manage execution risks, remove blockers, escalate decisions with recommendations, and track commitments.
• Coordinate evaluations and deployment readiness, including quality, latency, cost, permissions, and FDE integration risks.
• Define ownership for support, monitoring, maintenance, governance reviews, and reusable delivery standards.

Requirements

• Proven experience leading complex technical programs or software delivery across several teams, with examples of personal judgment, design contributions, decisions, and results.
• Practical skills in Python, SQL, APIs, authentication, Git, and testing.
• Hands-on experience with at least one LLM SDK, such as OpenAI or Google, for prototyping integrations and debugging.
• Understanding of data modeling, pipelines, and enterprise integration patterns.
• Experience with tool calling, multi-step orchestration, state, structured outputs, human review, and fallbacks.
• Ability to assess quality, latency, cost, and permissions risks and define useful evaluations.
• Ability to establish baselines, validate assumptions through experiments, balance sophistication with operational constraints, translate between business and engineering teams, influence without formal authority, mentor others, and escalate decisions early.
• Ability to provide examples of solution designs, evaluation decisions, or delivery outcomes without sharing confidential material.

Nice to have

• Applied LLM work used by real users.
• RAG and vector database experience.
• Experience deploying into environments owned by other teams.
• Experience in regulated or data-sensitive settings such as fintech.
• Experience with CX, support, or compliance metrics including AHT, FCR, CSAT, and SLA.

Culture & Benefits

• Initial stock options grant and annual performance bonus.
• Unlimited PTO and paid parental leave.
• Hybrid work setup in Seattle, USA.
• 401(k) with employer matching for US-based employees, plus health, dental, and vision plans.
• Continuous learning opportunities and growth in an entrepreneurial environment.