AI Software Engineer – TypeScript, Node.js, AWS

Job not on LinkedIn

🕒 October 20

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Koombea

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Koombea is a leading mobile consultancy and web app development agency, specializing in transforming business ideas into digital realities. They offer a wide range of services including mobile and web development, AI development, and strategic product ideation. The company uses AI technologies to drive innovation and enhance digital transformations for startups and established enterprises. Koombea's expertise includes iOS and Android app development, web app design, eCommerce solutions, and QA services, with a strong focus on using AI-driven insights to improve product development and user experience.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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