Senior AI Engineer

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Teak

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

☁️ SaaS

💳 Fintech

🤝 B2B

SaaS • Fintech • B2B

Teak is a B2B company offering embeddable SaaS products—Smart Refunds and Friendly Insurance—that help experience and booking platforms convert refunds into revenue, manage claims and payouts, and transfer refund risk to insurance partners. Teak provides a lightweight API with enterprise-grade security and compliance (PCI, SOC 2), U. S. and Canadian licensing, customer support for refunds and payouts, and data-driven optimization to increase ancillary revenue and reduce chargebacks.

📋 Description

• Agentic System Design: Design, build, and maintain production-grade agentic systems, multi-agent orchestration, specialist agents, and Human-in-the-Loop workflows, with context management, memory, and tool-calling. • MCP & Tool Integration: Develop MCP servers and tool integrations connecting AI agents to Teak's platform APIs and partner systems. • LLM Integration & Output Control: Orchestrate LLMs (Claude, GPT, Gemini, or similar) across the AI layer, selecting the right model per task and managing prompt and system-prompt strategies so agents present refund solutions in pre-approved, compliant language. • RAG & Knowledge Systems: Build RAG pipelines that ground agent responses in Teak's policy and product data, with versioning and isolation that prevent hallucination on compliance-sensitive topics. • Compliance & Safety: Implement guardrails that enforce compliant offer language, prevent unauthorized coverage claims, and meet regulatory requirements across Teak's markets. • Evaluation: Build evaluation frameworks to monitor, test, and continuously improve agent performance, reliability, and output quality. • AI Infrastructure & Observability: Build and operate AI infrastructure on AWS, with structured logging and tracing for auditability and rapid issue resolution. • Backend Development: Contribute to backend services, APIs, and platform improvements in Python alongside AI work, applying clean code, testing, and strong engineering fundamentals. • Collaboration & Code Quality: Participate in code reviews, document agent system design and integration patterns, take part in Agile workflows, and join the on-call rotation.

🎯 Requirements

• Bachelor's Degree in Computer Science, Engineering, a related field, or equivalent practical experience. • 5+ years of professional software engineering experience, with at least 2 years focused on production AI/LLM application development. • Strong Python proficiency and solid software engineering fundamentals. • Deep backend engineering experience, designing, building, and operating production services and APIs (Django or similar framework), with strong fundamentals in testing, code quality, and system design. • Hands-on experience building and deploying agentic AI systems (LangGraph, LangChain, AWS Bedrock Agents, or similar). • Demonstrated experience integrating LLM APIs (Anthropic, OpenAI, or similar) into production applications. • Experience building and maintaining RAG pipelines and vector search systems. • Working knowledge of Model Context Protocol (MCP) and tool-calling patterns. • Experience designing and running LLM evaluation frameworks for quality, reliability, and safety. • Experience building and operating AI infrastructure on a major cloud platform (AWS, GCP, or Azure). • Strong written and verbal communication, with the ability to explain AI system design to technical and non-technical stakeholders.

🏖️ Benefits

• Fully Remote Working Environment • Competitive Salary and Equity Opportunities • Unlimited Paid Time-off • Two paid week-long office closures per year: Christmas Eve through New Year’s Day, and the Week of Fourth of July • Medical, Dental, and Vision Benefits • Annual Bonus Program • 401k Matching • $100/month for Event Ticket Purchase • Twice annual company retreats in fantastic locations such as San Diego, Napa, Denver, Phoenix and Seattle