Senior Software Engineer

🕒 Maio 5

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Ozmo

51 - 200 funcionários

Fundada em 2016

☁️ SaaS

🛍️ Comércio Eletrônico

👥 B2C

💰 Debt financing em 2020-06

SaaS • eCommerce • B2C

Ozmo é uma plataforma SaaS de link na bio e gestão de mídias sociais que ajuda criadores, influenciadores, marcas e pequenas empresas a consolidarem sua presença online em um único link compartilhável e código QR. Oferece funcionalidades para gerenciar e agendar postagens, automatizar respostas e mensagens diretas no Instagram, gerar legendas e hashtags impulsionadas por IA, coletar leads e integrar-se com ferramentas de email marketing, além de monetizar audiências por meio de lojas, links de afiliados, produtos digitais e reservas pagas, tudo com análises para medir o desempenho.

Descrição

• Design, build, own and operate production SaaS features that integrate RAG pipelines, agent systems including multi-agent architectures, and deterministic services. • Use AI coding agents (e.g., Claude Code style tools) as a first class part of your development process, including architecture exploration, implementation, testing, refactoring, and documentation, while maintaining full ownership of output quality and understanding their strengths and limitations. • Implement and evolve agentic systems using frameworks such as LangChain, CrewAI, PydanticAI, or equivalent, including tool orchestration, memory/state handling, and multi-step reasoning workflows. • Build scalable retrieval and inference pipelines: embedding workflows, vector databases, hybrid retrieval strategies, caching, and evaluation loops to balance accuracy, latency, and cost. • Identify where agentic approaches provide leverage over conventional code and where they do not, making pragmatic, production minded tradeoffs across cost, accuracy, latency, and reliability. • Design guardrails and failure-mode mitigations for non-deterministic systems, including prompt structure, validation layers, fallback strategies, and human-in-the-loop patterns where appropriate. • Integrate observability and evaluation into AI-enabled features, monitoring correctness, drift, bias, and performance over time. • Collaborate with architects, product managers, and designers to translate ambiguous requirements into robust technical designs. • Contribute to shared libraries, internal tooling, and reference patterns that accelerate delivery of AI-enabled features across teams. • Participate in code reviews and design discussions, raising the bar for quality, reliability, and responsible use of AI across the engineering organization. • Mentor other engineers on effective agentic coding practices, prompt design, and emerging patterns as adoption scales. • Own AI-enabled features end-to-end in production, from initial design and implementation through deployment, monitoring, on-call support, incident response, and iterative improvement.

🎯 Requisitos

• 7+ years of professional software engineering experience, with a strong background building and operating SaaS platforms in production. • Proven experience working at a SaaS company, contributing to multi-tenant, cloud-based systems. • Hands-on experience architecting or contributing meaningfully to SaaS platform architecture, including well-defined service boundaries, API design, domain modeling (DDD), data modeling, and integrations across distributed systems. • Advanced, practical experience using AI coding agents in day to day development, not just experimentation but real production work, with clear ownership of outcomes. • Strong hands-on experience with agentic systems and AI workflows, including: RAG architectures and retrieval pipelines, LLM integrations, prompt engineering, and context engineering, agent orchestration and tool-chaining, evaluation and observability for AI outputs. • Familiarity with agentic frameworks such as LangChain, CrewAI, PydanticAI, or similar, and the judgment to know when to extend, replace, or simplify them. • Deep understanding of software engineering fundamentals, including SOLID principles, clean architectural layering, common design patterns, testing strategy, and performance optimization. • Experience building and operating production systems with strong engineering discipline, including testable system design, observability, progressive delivery, and reliability patterns that reduce blast radius and enable safe iteration. • Comfort operating in cloud-native environments (AWS, Azure, or GCP), including microservices, event-driven architectures, CI/CD, and production monitoring. • Experience designing secure, multi-tenant SaaS systems, including access control patterns, data isolation, and defensive design practices appropriate for AI-enabled applications. • Strong communication skills, able to explain complex technical and AI-driven behavior clearly to engineers, product partners, and stakeholders, and to mentor other engineers through code reviews, design discussions, and thoughtful technical guidance. • A mindset of continuous learning, experimentation, and responsible innovation, especially as agentic capabilities evolve rapidly. • While a Bachelor’s degree is preferred, we place greater value on demonstrated experience and impact.

🏖️ Benefícios

• Medical, vision, dental and life insurance along with short- and long-term disability • Plenty of paid time off (PTO) that grows the longer you’re with Ozmo, as well as paid holidays • 401k to save for retirement with employer matching • Paid maternity and bonding leave for new parents • Paid pawternity leave when you bring a new pet into your life • One-month sabbatical after you have been with Ozmo for five years • Flexible, remote work arrangements to support your best work

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