Senior Software Engineer – AI Platform & Experiences

🕒 Janeiro 9

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CaptivateIQ

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2017

💸 Finanças

🏢 Corporativo

💰 $100.000.000 Series C em 2022-01

Finance • Software as a Service (SaaS) • Enterprise

A CaptivateIQ é uma solução moderna de comissões de vendas que ajuda as empresas a melhorar significativamente o desempenho de receita. Ao automatizar e simplificar todo o processo de comissões, permite que as equipes de vendas se concentrem em vender em vez de realizar tarefas administrativas. A plataforma oferece ferramentas para visibilidade e análises em tempo real, que motivam os representantes de vendas e oferecem insights aos líderes de vendas. A solução da CaptivateIQ é flexível, transparente e projetada para crescer com empresas em expansão, oferecendo recursos como inteligência impulsionada por IA e tecnologia SmartGrid™. Notavelmente, atende a vários setores, como serviços financeiros, manufatura, mídia e entretenimento, entre outros, proporcionando uma vantagem estratégica na gestão e otimização de iniciativas de gerenciamento de desempenho de vendas.

Descrição

• Lead early-phase AI systems: Design and build AI-first user experiences from the ground up, pairing rapid experimentation with strong measurement loops to evaluate performance, relevance, safety, and cost in production. • Influence product direction: Bring an engineering-driven perspective to what we build, how we build it, and which tradeoffs are worth making at early stages—charting a multi-step path that turns quick wins into durable, scalable capabilities. • Design and build scalable AI systems: Once direction is validated, evolve prototypes into reliable, maintainable, and observable production systems, balancing iteration speed with long-term platform health. • Build AI-powered product experiences: Develop AI-assisted modeling and authoring workflows to accelerate plan design, data mapping, and explanation for customers. • Deliver retrieval-augmented insights: Implement contextual help, explainers, and policy Q&A grounded in customer data and system metadata using robust retrieval-augmented generation patterns. • Own guardrails and evaluation: Design and implement evaluation and safety primitives—including offline and online evals, telemetry, human-in-the-loop workflows, safety filters, and red-teaming—to ensure trustworthy AI behavior. • Create reusable AI platform components: Build shared infrastructure for prompt orchestration, hybrid retrieval, caching, tracing, evaluation, and cost/performance controls that enable teams to ship AI features safely and efficiently. • Raise the technical bar: Contribute to architecture, coding standards, testing strategy, and mentoring; promote best practices across AI systems, platform design, and production readiness.

🎯 Requisitos

• 6+ years of software engineering experience shipping production systems in fast-moving environments, including significant ownership of architecture, technical direction, and quality. • Demonstrated success building AI-powered products or platforms in highly exploratory settings (0→1, greenfield initiatives, early AI features), where model choice, system design, and product experience evolved together. • Hands-on experience designing, building, and operating AI systems in production, including: • Integrating LLMs or other models into real user workflows • Designing AI-first or AI-assisted product experiences • Managing inference performance, latency, cost, and reliability • Building feedback loops to continuously improve model behavior • Experience implementing AI evaluation and guardrails, such as: • Offline and online evaluations • Safety filters, policy enforcement, and failure detection • Human-in-the-loop workflows and red-teaming • Telemetry, tracing, and model performance monitoring • Fluency in modern product and platform development, with hands-on experience in Python/Django, TypeScript/JavaScript, React, and PostgreSQL, and the ability to build both backend systems and AI-powered user experiences. • Strong systems and platform thinking, including APIs, data modeling, scalability, observability, and the unique operational challenges of AI-enabled systems. • Sound engineering judgment in AI contexts, balancing rapid experimentation with long-term durability, safety, and maintainability. • High comfort with ambiguity and technical decision-making, able to evaluate multiple AI approaches, articulate tradeoffs, and move work forward without perfect specifications. • Excellent communication skills and product sensibility, with the ability to collaborate deeply with product, design, and stakeholders to translate AI capabilities into real customer value.

🏖️ Benefícios

• (US-ONLY) 100% of medical, dental, and vision covered including 75% for dependents • Flexible vacation days and quarterly mental health days so you can recharge • (US-ONLY) 401k plan to participate in and save towards the future • Newest Apple products to help you do your best work • Employee Resource Groups (ERGs) to support and celebrate the shared identities and life experiences of communities within CaptivateIQ. ERGs directly support our company-wide DEI goals as a space for developing and retaining diverse talent