Senior AI Engineer

🕒 Julho 14

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 16%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Teak

Teak

11 - 50 funcionários

Fundada em 2016

💼 Consultoria

🛡️ Seguros

📦 Logística

Consulting • Insurance • Logistics

A Teak é uma empresa B2B que oferece produtos SaaS incorporáveis — Smart Refunds e Friendly Insurance — que ajudam plataformas de experiências e reservas a converter reembolsos em receita, gerenciar reivindicações e pagamentos, e transferir o risco de reembolso para parceiros de seguros. A Teak fornece uma API leve com segurança e conformidade de nível empresarial (PCI, SOC 2), licenças nos EUA e Canadá, suporte ao cliente para reembolsos e pagamentos, e otimização orientada por dados para aumentar a receita acessória e reduzir chargebacks.

Descrição

• 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. • Develop MCP servers and tool integrations connecting AI agents to Teak's platform APIs and partner systems. • 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. • 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. • Implement guardrails that enforce compliant offer language, prevent unauthorized coverage claims, and meet regulatory requirements across Teak's markets. • Build evaluation frameworks to monitor, test, and continuously improve agent performance, reliability, and output quality. • Build and operate AI infrastructure on AWS, with structured logging and tracing for auditability and rapid issue resolution. • Contribute to backend services, APIs, and platform improvements in Python alongside AI work, applying clean code, testing, and strong engineering fundamentals. • Participate in code reviews, document agent system design and integration patterns, take part in Agile workflows, and join the on-call rotation.

🎯 Requisitos

• 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. • Fully remote position; reliable internet connection and an appropriate home office workspace required

🏖️ Benefícios

• 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

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