AI Software Engineer – TypeScript, Node.js, AWS

Vaga não está no LinkedIn

🕒 Outubro 20

🇨🇴 Colômbia – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 12%

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.Por que essa pontuação:

• Aberta há 22 dias.
• Sem salário divulgado.

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Koombea

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

📣 Marketing

🤖 Inteligência Artificial

Consulting • Marketing • Artificial Intelligence

A Koombea é uma consultoria líder em mobile e agência de desenvolvimento de aplicativos web, especializada em transformar ideias de negócios em realidades digitais. Oferecem uma ampla gama de serviços, incluindo desenvolvimento móvel e web, desenvolvimento de IA e ideação estratégica de produtos. A empresa utiliza tecnologias de IA para impulsionar a inovação e melhorar transformações digitais para startups e empresas estabelecidas. A expertise da Koombea inclui desenvolvimento de aplicativos iOS e Android, design de aplicativos web, soluções de eCommerce e serviços de QA, com forte foco no uso de insights impulsionados por IA para melhorar o desenvolvimento de produtos e a experiência do usuário.

Descrição

• Design, develop, and maintain scalable TypeScript/Node.js applications with AI-powered features • Build and integrate backend services, REST/GraphQL APIs, and AI workflows into production systems on AWS • Work with Large Language Models, AI APIs, and modern AI frameworks • Design and operate cloud-native and serverless architectures using AWS services • Optimize application performance, scalability, reliability, and maintainability • Collaborate with engineers, designers, PMs, QA analysts, and stakeholders in cross-functional teams • Troubleshoot and resolve issues across software systems, AWS infrastructure, and AI integrations • Contribute to architecture decisions, technical planning, and engineering best practices • Maintain clean, strongly typed, well-tested, and well-documented codebases • Work with databases, infrastructure as code, and CI/CD deployment pipelines on AWS • Use AI tools daily to improve development workflows, debugging, documentation, testing, and productivity • Work in spec-driven workflows using structured technical documentation and engineering specifications • Apply prompt engineering techniques to improve AI outputs, workflows, and development efficiency • Contribute to AI-assisted testing and modern AI-native engineering practices • Continuously explore and adopt emerging AI technologies and engineering workflows

🎯 Requisitos

• 4+ years of experience as a Software Engineer or Backend Engineer • Strong hands-on experience with TypeScript and Node.js in production environments • Experience with Node.js frameworks such as NestJS, Express, or Fastify • Solid experience with AWS, including Lambda, API Gateway, ECS/Fargate, S3, DynamoDB, RDS, SQS/SNS, CloudWatch, and IAM • Experience integrating AI tools, AI APIs, or LLM-based solutions into applications • Strong understanding of software architecture, APIs, SQL and NoSQL databases, and distributed systems • Experience building scalable and maintainable backend services, including serverless and event-driven architectures • Experience using AI tools daily in software development workflows • Experience with prompt engineering and AI-first development practices • Familiarity with spec-driven workflows and structured engineering documentation such as contracts.md • Familiarity with AI-assisted testing practices and AI-native engineering workflows • Experience with Claude Code or similar AI-assisted development environments • Experience with testing frameworks such as Jest or Vitest • Familiarity with Git and collaborative development workflows • Experience working in Agile/Scrum environments • Good written and spoken English communication skills • Nice-to-have: experience with Amazon Bedrock or other managed AI services on AWS • Nice-to-have: experience with AI frameworks such as LangChain.js, LlamaIndex.TS, Vercel AI SDK, or similar tools • Nice-to-have: experience with vector databases, embeddings, RAG architectures, or AI agents • Nice-to-have: experience with infrastructure as code, Docker, Kubernetes, or CI/CD pipelines • Nice-to-have: AWS certifications • Nice-to-have: exposure to Python or other languages • Nice-to-have: experience working on AI-powered SaaS products or platforms • Nice-to-have: experience optimizing LLM cost, latency, and performance

🏖️ Benefícios

• Amazing benefits • Flexible and innovative work culture • Flexible schedule and ability to manage your career • Healthy work-life balance • International work environment • Opportunities to interact with talented software developers

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