Senior Forward Deployed Engineer, AI Platform

🕒 Setembro 15

🌐 Colômbia, Costa Rica – Remoto

🇨🇴 Colômbia – Remoto 🇨🇷 Costa Rica – Remoto

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

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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Gorilla Logic

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A Gorilla Logic é reconhecida por sua expertise em engenharia moderna de software e de dados. Atuando como parceira estratégica, e não apenas como fornecedora, a Gorilla Logic é especializada em design de produtos digitais, engenharia de cloud, entrega de soluções de Data & AI, DevOps, QA (Quality Assurance) e modernização de sistemas legados. Com um time de designers de produtos digitais, arquitetos de soluções e equipes Agile nearshore altamente qualificadas, a Gorilla Logic vem sendo fundamental no desenvolvimento de aplicações de software críticas para os negócios de empresas Fortune 500 e PMEs há mais de 20 anos. Seus serviços incluem a criação de plataformas SaaS, o aprimoramento de experiências digitais e a oferta de soluções flexíveis com foco em segurança. A Gorilla Logic opera com equipes localizadas na Costa Rica, Colômbia, México e Estados Unidos, com ênfase em parcerias colaborativas para entregar soluções de engenharia digital de ponta.

Descrição

• Design and build production-grade services, APIs, SDKs, internal tools, and reusable platform capabilities • Develop systems combining AI agents, tools, deterministic workflows, APIs, events, and human approval steps • Implement agent runtimes, model invocation, reusable skills, backend services, and automated actions • Build orchestration patterns involving routing, sequencing, parallel execution, delegation, retries, checkpoints, scheduling, memory, and state management • Integrate enterprise context through MCP, RAG, repositories, tickets, documents, databases, search systems, and APIs • Connect the Harness with GitHub, Azure DevOps, Jira, Slack, cloud services, SaaS products, and internal applications • Implement identity, permissions, policies, approval gates, guardrails, access controls, audit trails, and operational kill switches • Build observability for agent activity, distributed traces, logs, metrics, token consumption, model and tool calls, failures, latency, and cost • Create automated evaluations, benchmark datasets, regression suites, quality thresholds, hallucination checks, and model or prompt comparisons • Improve developer experience through APIs, SDKs, CLIs, templates, configuration systems, documentation, and reusable reference implementations • Build lightweight user interfaces, administrative tools, approval experiences, or operational dashboards when required • Deploy and operate solutions across AWS, Azure, or Google Cloud using containers, serverless services, CI/CD, infrastructure as code, IAM, networking, and secrets management • Conduct technical discovery in unfamiliar client environments and translate business and technical needs into scalable implementation patterns • Move from discovery and experimentation to working integrations and production-ready solutions • Communicate architecture decisions, risks, and trade-offs to client engineers, architects, product teams, and technical leadership

🎯 Requisitos

• Senior-level experience designing, building, and operating production software systems • Deep expertise in at least one area of software engineering, such as backend, full-stack, frontend, platform, cloud, data, or quality engineering • Proficiency in one or more programming languages such as Python, TypeScript, JavaScript, Java, Kotlin, C#, or Go • Experience building APIs, services, enterprise integrations, or distributed systems • Understanding of asynchronous processing, events, state management, scalability, reliability, and architectural trade-offs • Experience with REST APIs, GraphQL, webhooks, message queues, databases, and authentication • Experience with at least one major cloud platform: AWS, Azure, or Google Cloud • Familiarity with containers, serverless computing, CI/CD, IAM, networking, storage, and secrets management • Working knowledge of LLM APIs, tool calling, structured outputs, embeddings, RAG, AI agents, and model selection • Understanding of when to use agents, deterministic workflows, automation, or traditional software components • Experience with SQL, data models, retrieval systems, indexing, or vector stores • Ability to troubleshoot systems across applications, infrastructure, APIs, data sources, and external integrations • Strong technical discovery, prototyping, problem-solving, and client-facing communication skills • Ability to work autonomously in environments with ambiguity and evolving requirements • Preferred: Experience building AI platforms, internal developer platforms, workflow systems, or enterprise automation solutions • Preferred: Experience with MCP, agent orchestration frameworks, multi-agent systems, or tool integration patterns • Preferred: Experience with Kubernetes, infrastructure as code, distributed tracing, or OpenTelemetry • Preferred: Experience building automated evaluations for AI agents, prompts, models, or retrieval systems • Preferred: Experience with modern frontend frameworks such as React, Angular, or Vue • Preferred: Experience creating SDKs, CLIs, templates, internal tools, or developer documentation • Preferred: Experience working directly with client engineering, architecture, security, or product teams