Senior AI Engineer, LLMs, Agentic AI

🕒 Outubro 14

🇲🇽 México – Remoto

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

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.

Candidatar-se

Encontrar Vagas Remotas Similares

Applaudo

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2013

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A Applaudo é uma empresa de desenvolvimento de software nearshore que ajuda empresas a acelerar sua transformação digital. Com mais de uma década de experiência, a Applaudo faz parceria com algumas das marcas mais admiradas do mundo para simplificar soluções de TI, otimizar custos de entrega e modernizar sua infraestrutura digital. A empresa oferece uma gama de serviços, incluindo design de inovação e experiência, desenvolvimento e manutenção, garantia de qualidade, soluções em nuvem, inteligência artificial e cibersegurança. A Applaudo é conhecida por sua expertise em soluções de dados e modernização de aplicativos, e tem uma forte presença em indústrias como esportes, mídia e entretenimento, varejo, bens de consumo embalados e serviços financeiros. Com sede em Austin, TX, e escritórios em San Salvador, a Applaudo combina talento de desenvolvimento de software de alto nível com tecnologia de ponta para impulsionar o crescimento dos negócios de seus clientes.

Descrição

• Build and maintain MCP servers, tool and resource definitions, and context management capabilities • Design and implement intent evaluation, classification, and routing workflows • Orchestrate resolution into correct API and data-source calls, including aggregation across multiple sources • Integrate Anthropic and OpenAI models into production environments • Manage prompt versioning, fallback strategies, and LLM performance optimization • Develop and maintain evaluation frameworks for model quality and production performance • Write SQL against model inputs and outputs for evaluation and monitoring • Support backend behavior of the chat/MCP interface • Trace behavior and make safe, incremental changes in an existing partially documented codebase • Collaborate with software engineers and AI specialists to deliver production-ready AI solutions • Participate in architecture discussions and contribute to AI platform design • Continuously improve AI systems through experimentation, optimization, and engineering best practices

🎯 Requisitos

• Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field is desired, or equivalent professional experience • Strong proficiency in Python and production backend software engineering best practices, including APIs, async I/O, typing/schema validation, error handling, and testing • Strong SQL skills with cloud data warehouses; Snowflake preferred • Hands-on experience building production-grade LLM and agentic AI applications • Must have personally authored/built an MCP server deployed in production and used by other users or systems • Experience building and deploying MCP servers, including tool and resource definitions, context management, and multi-step orchestration • Understanding of MCP transports, including stdio and Streamable HTTP • Understanding of authentication and authorization patterns for remote servers, including OAuth/OIDC, scoped access, and resource-level access • Experience integrating hosted LLM APIs such as Anthropic and OpenAI in production • Experience with prompt engineering, prompt versioning, fallback strategies, and cost/latency optimization • Experience designing intent classification and routing solutions for natural language applications • Experience building conversational AI solutions or multi-API orchestration workflows • Experience developing LLM evaluation methodologies • Experience working within a partially documented, brownfield Python codebase • Strong collaboration, communication, and problem-solving skills • Ability to explain personal technical work in depth under sustained technical questioning • Strong spoken English (B2+) for live technical discussions with US-based stakeholders • Experience building production AI applications with Python and LLM technologies • Hands-on brownfield experience adding significant features to a production Python codebase • Experience designing and deploying conversational AI or agentic AI solutions • Strong experience with prompt engineering, LLM integrations, and evaluation methodologies • Nice-to-have: Hugging Face, GPU acceleration, MLOps, CI/CD, observability, reproducible pipelines, vector databases, RAG, applied NLP, client-facing AI products, and AWS services

🏖️ Benefícios

• Remote work availability • Contractor model • Opportunity to work on production-grade LLM applications and agentic AI systems • Collaborative, lightly-managed team environment • Work with modern AI, cloud, data, and software engineering technologies • Learning and ownership opportunities • AI-native organization focused on meaningful, scalable solutions

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo