Lead AI Back-End Engineer

🕒 Agosto 27

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.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

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

Newfold Digital

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2021

💼 Consultoria

📣 Marketing

📦 Logística

💰 Venture Round em 2021-01

Consulting • Marketing • Logistics

A Newfold Digital é uma provedora líder de soluções de presença online, atendendo milhões de pequenas e médias empresas no mundo todo. Por meio de seu portfólio de marcas — incluindo Bluehost, CrazyDomains, HostGator, Network Solutions, Register. com, Web. com e muitas outras — a Newfold Digital ajuda clientes de todos os portes a construir uma presença digital que gera resultados e agrega valor aos negócios. Com um amplo portfólio de produtos, como domínios, criadores de sites, hospedagem, segurança, marketing digital, design profissional de sites e serviços de SEO, além de suporte personalizado, a Newfold Digital colabora com seus clientes para atender às suas necessidades de presença online.

Descrição

• Set the technical architecture for an agent-powered platform using LLMs, retrieval technologies, agent frameworks, and microservice patterns • Drive architecture for high-throughput APIs using .NET, C#, Python 3.11+, FastAPI async, SQLModel, and Semantic Kernel • Lead multi-agent orchestration across handoff, sequential, parallel, and supervisor patterns • Guide implementation of Retrieval Augmented Generation on Azure AI Search, pgvector, Chroma, and equivalent platforms • Own end-to-end CI/CD pipelines, including linting, type checking, security scanning, testing, containerization, and deployment • Mentor and hire engineers and adopt AI coding agents such as Cursor and Claude Code • Champion observability and FinOps for LLM workloads using structured JSON logging, OpenTelemetry tracing, Langfuse, evaluation frameworks, and cost dashboards • Partner with Product and Security to translate business goals, compliance requirements, AI capabilities, and user feedback into a technical roadmap • Steer the core intelligence behind AI products serving millions of users while maintaining reliability, security, governance, and economic standards

🎯 Requisitos

• 7+ years building and scaling production backend systems • 2+ years in a technical lead, staff, principal, or equivalent role • Expert REST API design and development using Python FastAPI or .NET C# APIs • Strong experience with dependency injection, middleware, profiling, performance optimization, and distributed systems • Hands-on leadership experience with Semantic Kernel or equivalent agent and LLM frameworks • Production experience with agent orchestration, tool calling, structured outputs, and multi-step workflows • Delivered at least one production RAG system or pipeline using a vector or hybrid search platform such as Azure AI Search, pgvector, Chroma, or equivalent • Deep PostgreSQL expertise plus SQLModel, SQLAlchemy 2, and Alembic migrations at scale • Experience integrating multiple frontier and cost-optimized model providers, including model routing, structured output, reasoning, tool calling, and fallback strategies • Fluency with Poetry, Docker, GitHub Actions, Azure DevOps, Jenkins, or Argo • Infrastructure as code fundamentals and blue-green or canary release strategies • Strong people leadership through code reviews, architectural guidance, technical mentoring, roadmap planning, hiring, and cross-team communication • Nice to have: message queue and event-driven architectures using RabbitMQ, Kafka, Azure Service Bus, or equivalent • Nice to have: GPU inference fleets, self-hosted open-weight models, or serverless model hosting • Nice to have: model gateways, intelligent model routing, MCP, agent interoperability, prompt caching, and LLM cost optimization • Nice to have: automatic evaluation pipelines, agent evaluations, LLM-as-judge techniques, safety guardrails, and cost-aware prompt and context engineering

🏖️ Benefícios

• Work-life balance • Diversity and inclusion programs • Learning and development opportunities • 20+ affinity groups for networking and connection • Competitive HMO benefits – 175k MBL with one free dependent upon one year of service • Punctuality Bonus • Generous Vacation policy • Mentoring and career growth opportunities