Senior Python, Agentic AI Engineer

🕒 4 dias atrás

🌐 Colômbia, Costa Rica – Remoto

🇨🇴 Colômbia – Remoto 🇨🇷 Costa Rica – Remoto

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

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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 AI-agent features that generate tailored customer recommendations, tasks, and findings • Develop production Python services using modern asynchronous Python • Build secure APIs using FastAPI or a comparable asynchronous Python web framework • Develop agent workflows using Pydantic AI, LangGraph, or similar frameworks • Implement tool-calling, structured outputs, and multi-step agent workflows • Integrate large language model APIs from providers such as Anthropic and OpenAI • Design, test, and maintain prompts for production AI applications • Build retrieval-augmented generation pipelines using embeddings, chunking, and vector search • Design data-ingestion, indexing, retrieval, and context-building workflows • Develop safeguards to improve AI output accuracy, consistency, and safety • Evaluate hallucination, accuracy, grounding, and other output-quality risks • Handle confidential customer information and personally identifiable information responsibly • Build persistence layers using SQL and an ORM such as SQLAlchemy • Write unit and integration tests using pytest • Develop services that can be securely consumed by the .NET application and other internal systems • Participate in pull-request reviews and continuous integration workflows • Monitor and optimize AI-service cost, latency, reliability, and performance • Work closely with internal AI, platform, product, and application engineering teams • Develop and test services within a Docker-based environment • Communicate AI behavior, limitations, risks, and technical trade-offs clearly

🎯 Requisitos

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent professional experience • 5+ years of professional Python development experience • Strong experience with modern asynchronous Python • Experience building APIs with FastAPI or a comparable asynchronous Python framework • Proven experience building and operating production LLM-powered applications • Experience with agent frameworks such as Pydantic AI, LangGraph, or similar technologies • Experience implementing tool-calling and structured model outputs • Strong prompt-engineering experience • Experience integrating Anthropic, OpenAI, or comparable LLM APIs • Experience building retrieval-augmented generation solutions • Strong understanding of embeddings, chunking, retrieval, and vector search • Experience evaluating AI outputs for accuracy, hallucination, and safety • Experience implementing AI guardrails and validation mechanisms • Strong understanding of secure and responsible handling of sensitive data and PII • Experience with SQL and an ORM such as SQLAlchemy • Experience writing automated tests using pytest • Experience with Git pull-request workflows and continuous integration • Experience with Docker and GitHub Actions or comparable CI technologies • Strong written communication and asynchronous collaboration skills • Ability to maintain reasonable daily working-hours overlap with a US-based technical lead • Ability to independently design and deliver complex AI capabilities • Comfortable using AI-assisted development tools • Must have the ability to work in a dynamic and highly collaborative environment • Strong analytical thinking and problem-solving skills

🏖️ Benefícios

• Professional development opportunities