Principal AI Engineer

Vaga não está no LinkedIn

🕒 Abril 8

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 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

Exavalu

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2018

💼 Consultoria

🏥 Saúde

🛡️ Seguros

Consulting • Healthcare • Insurance

A Exavalu é uma empresa de consultoria de negócios e tecnologia que faz parcerias com empresas para entregar uma transformação digital de alto impacto. Liderada por ex-CIOs, CXOs e principais consultores, a Exavalu oferece consultoria estratégica, transformação de sistemas centrais, integração de sistemas, soluções de dados e análises, inovação e privacidade/conformidade em setores regulamentados. A empresa concentra-se em Seguros, Bancos & Serviços Financeiros, e Saúde & Ciências da Vida, fornecendo implementações de tecnologia adaptadas à indústria e liderança em programas usando parceiros como Guidewire, Salesforce, MuleSoft, PegaSystems e AWS.

Descrição

• Lead a high-impact Agentic AI SWAT Pod across multiple AI use-case tracks • Drive technical architecture and implementation for enterprise Agentic AI solutions • Select solution architectures using Agentic AI workflow automation, RAG, application logic, and hybrid AI patterns • Mentor engineers, conduct code reviews, and establish engineering best practices • Parallelize delivery across multiple workstreams while ensuring technical consistency • Design and develop production-ready AI agents and autonomous workflows • Build intelligent AI systems using LLMs, Agentic AI, RAG architectures, and multi-agent orchestration • Develop reusable AI components and reference implementations • Own critical code paths and contribute to hands-on software development • Take ownership of agent orchestration, MCP tools, context management, prompt orchestration, retrieval pipelines, AI workflow readiness, and AI service integrations • Design scalable, secure, and maintainable AI platforms • Troubleshoot production issues and optimize AI workloads • Implement CI/CD best practices for AI applications • Build observability into AI systems using modern monitoring frameworks • Ensure engineering quality through testing, code reviews, and deployment automation

🎯 Requisitos

• 10+ years of software engineering, platform engineering, or AI development experience • Recent hands-on coding experience in production environments • Proven experience delivering Large Language Model (LLM) applications • Proven experience delivering Retrieval-Augmented Generation (RAG) solutions • Proven experience delivering Agentic AI solutions • Proven experience delivering AI Assistants / Intelligent Agents • Strong software engineering fundamentals • Experience building scalable enterprise AI applications • Strong understanding of API development, cloud-native architecture, and distributed systems • Experience implementing CI/CD pipelines and production monitoring • Proficiency in Python, Java, and TypeScript • Knowledge of Agentic AI, LLMs, RAG, AI assistants, AI orchestration, and prompt engineering • Experience with LangGraph, MCP, AI workflow orchestration, Kubernetes, REST APIs, Azure/AWS/GCP, CI/CD pipelines, Git, deployment automation, OpenTelemetry, monitoring and logging, and performance optimization

🏖️ Benefícios

• Permanent remote working model • Flexibility depending on the needs of employees, customers and the business • Possibility of part-time work or working outside normal 9-5 business hours • Welcome back program to help people get back to the mainstream after a long break due to health or family reasons • Diverse and inclusive workforce and workplace culture • Career growth opportunities