Senior AI Engineer – LLMs, Agentic AI

🕒 6 dias atrás

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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 definitions, and context management capabilities. • Design and implement intent evaluation, classification, and routing workflows. • Integrate Anthropic and OpenAI models into production environments. • Manage prompt versioning, fallback strategies, and LLM performance optimization. • Develop and maintain evaluation frameworks to validate model quality and production performance. • Collaborate closely 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 software engineering best practices. • Strong SQL skills working with cloud data warehouses. • Hands-on experience building production-grade LLM and agentic AI applications. • Experience implementing tool calling, MCP servers, context management, and multi-step orchestration. • Experience integrating hosted LLM APIs such as Anthropic and OpenAI into production environments. • 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 and working within existing codebases. • Strong collaboration, communication, and problem-solving skills. • Professional English proficiency. • Nice to Have: Experience deploying, fine-tuning, and evaluating open-source models using Hugging Face. • Experience with GPU acceleration and inference optimization. • Experience implementing MLOps practices, including CI/CD, observability, and reproducible pipelines. • Experience with vector databases and Retrieval-Augmented Generation (RAG). • Applied NLP experience. • Experience building client-facing AI products. • AWS certification.

🏖️ Benefícios

• All your information will be kept confidential according to EEO guidelines.