Agentic Engineer

Job not on LinkedIn

🕒 September 1

🇵🇪 Peru – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 16%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Livefront

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Livefront is a company that helps other companies grow by creating digital products that people love. Since 2001, they have shaped the way companies win in the digital space by designing, building, and scaling core digital products and experiences. Their services include strategy consulting, design, product development, and integration of data and AI to create personalized experiences. Livefront is a trusted partner of large brands, helping them strategically implement AI to enhance the development and performance of digital products. They have worked on projects transforming educational support, smart home automation, and digital engagement for consumer brands.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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