Backend Engineer

🕒 Agosto 27

🌐 Estados Unidos, Índia – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔙 Engenheiro Backend

👻 Score fantasma 12%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Freehand

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2026

📦 Logística

🤖 Inteligência Artificial

🏢 Corporativo

Logistics • Artificial Intelligence • Enterprise

A Freehand é uma empresa de software corporativo B2B que utiliza equipes e agentes impulsionados por IA para auditar faturas de frete, aplicar contratos de logística, gerenciar gastos da cadeia de suprimentos e resolver disputas com resultados auditáveis enviados de volta aos ERPs dos clientes. A empresa oferece serviços de auditoria e pagamento de frete, aplicação de contratos 3PL, validação de comércio global (taxas/tarifas/benefícios de acordos de livre comércio) e afirma recuperar de 5 a 10% dos gastos para os clientes. A Freehand levantou US$ 55 milhões em uma Série B para lançar agentes de IA para faturamento e cobranças, e tem como alvo empresas de logística, manufatura e varejo.

Descrição

• Build high-throughput, low-latency backend services powering AI agent execution • Develop workflow orchestration systems for complex, multi-step enterprise processes • Implement rule engines and policy enforcement layers for enterprise compliance • Build APIs and integrations with ERPs, procurement tools, payment rails, and data providers • Develop observability, audit, and traceability systems for AI-driven decisions • Build secure data pipelines handling sensitive financial and operational data • Create agent execution runtimes, multi-agent coordination, and observability pipelines • Develop evaluation frameworks and automated test harnesses for agent reliability and output quality • Design and build scalable backend services using modern system design principles • Own services managing procurement, invoice, contract, and payment workflows • Implement orchestration coordinating AI agents, humans, and enterprise systems • Build resilient systems with idempotency, retries, and failure handling • Maintain APIs consumed by AI services, frontend applications, and external systems • Normalize and transform complex data across enterprise systems • Instrument agent execution with trace capture, including tool calls, LLM I/O, latency, token usage, and cost • Define and track agent reliability metrics • Design enterprise-grade monitoring, alerting, access controls, audit logs, and data security • Ensure compliance for financial and regulated data • Optimize latency, throughput, and cost efficiency • Design services scaling across global customers and billions of transactions • Identify and fix distributed-systems bottlenecks

🎯 Requisitos

• Strong experience building production backend systems • Strong proficiency in Python, NodeJS, Go, or similar backend languages • Deep understanding of distributed systems, APIs and microservices, SQL and NoSQL databases, and message queues/event-driven architectures • Proven experience designing scalable, fault-tolerant systems • Strong grasp of consistency, concurrency, and data integrity trade-offs • Experience working with financial systems, enterprise SaaS platforms, or sensitive/regulated data • Comfort operating where backend failures have real business impact • Experience with workflow engines or state-driven systems is a plus • Experience with multi-agent orchestration and agent-to-agent communication protocols is nice to have • Familiarity with event sourcing, rule engines, or policy systems is nice to have • Knowledge of production debugging at scale and observability tooling is nice to have • Contributions to or experience with open-source LLM tooling ecosystems is nice to have • Experience with agent observability tooling and evaluation design is nice to have • Experience building LLM-powered systems in production and familiarity with agent frameworks is nice to have

🏖️ Benefícios

• Work Anywhere across the US & India • Remote and travel-first work arrangement • Fully-paid trips to the HQ in Chennai as required • Opportunity to meet and interact with cross-functional teams • High autonomy and accountability • Visible work in a Series C company of approximately 100 people • Professional growth through learning and taking initiative