17 days ago
Base Salary
$244k - $292k/yr
Responsibilities
- Design and implement the backend systems powering Fynn’s conversational AI layer, personalization engine, and product orchestration.
- Build reliable LLM-powered workflows and agents using model providers, retrieval over financial data, tool-calling, and the AI Debt Negotiation voice agent.
- Own automated evaluation, quality, compliance, privacy, and testing infrastructure for AI systems and model or prompt changes.
- Build systems that identify financial challenges and surface personalized next steps across the user lifecycle.
- Integrate internal services and third-party providers, including credit bureau data, financial profiles, and Kikoff product surfaces, through robust APIs and data pipelines.
- Improve monitoring, alerting, latency management, fault tolerance, observability, and reliability for AI-critical systems.
- Partner with product, data science, and operations teams to deliver reliable, compliant, secure products for customers.
- Own complex technical initiatives end-to-end and mentor teammates through code reviews, design documents, and technical guidance.
Requirements
- 5+ years of experience with modern backend frameworks and a track record of building and scaling production systems.
- Strong systems design skills and experience architecting and shipping high-throughput distributed systems with consistent data.
- Experience making infrastructure decisions that balance technical excellence with business pragmatism.
- Production experience with background job processing systems such as Sidekiq, Resque, or similar.
- Understanding of database optimization, caching strategies, and performance tuning.
- Ability to work in an environment where correctness, latency, reliability, compliance, security, and user trust are critical.
- Preferred experience building LLM-powered products using RAG, agentic or tool-calling workflows, prompt engineering, or evaluation frameworks.
- Preferred experience with client-server architectures, AI quality and safety systems, payment or financial infrastructure, or regulated environments.
- Preferred background in fintech, payments, lending infrastructure, ACH, card processing, or credit bureau data.
- Ability to provide technical leadership, mentorship, cross-functional collaboration, and operational ownership.
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