Agentic Engineer

Vaga não está no LinkedIn

🕒 Setembro 1

🇵🇪 Peru – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

👻 Score fantasma 20%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.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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Livefront

SiteLinkedInTodas as Vagas

11 - 50 funcionários

💼 Consultoria

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

A Livefront é uma empresa que ajuda outras empresas a crescer criando produtos digitais que as pessoas amam. Desde 2001, ela molda a maneira como as empresas vencem no espaço digital por meio do design, construção e escalonamento de produtos e experiências digitais essenciais. Seus serviços incluem consultoria estratégica, design, desenvolvimento de produtos e integração de dados e IA para criar experiências personalizadas. A Livefront é uma parceira de confiança de grandes marcas, ajudando-os a implementar estrategicamente AI para melhorar o desenvolvimento e desempenho de produtos digitais. Ela trabalhou em projetos que transformam suporte educacional, automação residencial inteligente e engajamento digital para marcas de consumo.

Descrição

• Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions • Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and multi-agent coordination when appropriate • Build integrations between agents and enterprise systems using APIs as tools, MCP servers, and structured tool contracts • Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-loop workflows • Instrument agent systems for traceability and observability, including actions, model behavior, token and cost usage, latency, and system performance • Design and maintain state and memory across long-running workflows • Implement model routing, retries, idempotency, and other reliability patterns • Build and deploy AI solutions using Azure or AWS cloud platforms and services • Apply software engineering practices using Python, Java, APIs, containers, source control, automated testing, and CI/CD • Collaborate with client engineering and security teams through architecture reviews, threat modeling, security reviews, audits, and enterprise delivery requirements • Evaluate when agentic architectures are appropriate versus deterministic pipelines, traditional machine learning, or other approaches • Turn successful client-engagement approaches into reusable Zeal patterns and solutions • Build trust with clients and internal teams through communication, technical judgment, problem-solving, and execution

🎯 Requisitos

• Strong software engineering foundation • Hands-on experience designing and shipping production agentic AI systems • Experience with tool and function calling, multi-step workflows, orchestration, task decomposition, or multi-agent architectures • Experience evaluating agent behavior and measuring system failures • Experience building evaluation harnesses, guardrails, grounding checks, human-in-the-loop controls, and error mitigation mechanisms • Deep hands-on experience with either Azure or AWS and related AI and infrastructure services • Strong proficiency in Python or Java • Proficiency in API design, containers, automated testing, source control, and CI/CD • Sufficient machine learning knowledge to determine when traditional ML or deterministic approaches are more appropriate than an LLM • Experience delivering software within large organizations • Experience with role-based access, data isolation, security reviews, compliance, change control, and production governance • Experience with agent traceability, state and memory management, model routing, latency and cost visibility, retries, and idempotency • Excellent verbal and written communication skills • Strong technical judgment and problem-solving ability • Keen interest in consulting • Experience with MCP, emerging tool-interoperability standards, RAGAS, fine-tuning, model distillation or optimization, and highly regulated industries is helpful but not required

🏖️ Benefícios

• Values-driven work environment grounded in kindness, generosity, and integrity • Variety and growth from consulting for Fortune 1000 companies across industries and technical stacks • Projects with outsized impact and reach • Human review of every application • Take-home exercise completion window of up to one week

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