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- Employment type
- Full-time
- Experience level
- Mid-level · 3+ years
- Apply by
- Oct 19, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
Job summary
Build and scale backend APIs with Node.js and TypeScript, develop performant Next.js frontends, and integrate AI models, APIs, and databases. Implement GenAI workflows such as RAG, prompt evaluation, fine-tuning, and agent orchestration, while collaborating on production features and deployment, testing, and monitoring pipelines.
Job details
Published using Google Docs Report abuseLearn more NodeJS Hiring Updated automatically every 5 minutes Software Engineer (Backend) – AICamp (Remote | Full-Time) Experience: 3+ Years in TypeScript Ecosystem Compensation : To the market — About The Role We’re expanding our team at AICamp and looking for a Software Engineer (BackEnd) who can do more than just write code. This is a hands-on role where you’ll be building, scaling, and optimizing real-world products in the TypeScript ecosystem. If you’ve got 3+ years of experience with Node.js and Next.js, thrive in fast-moving environments, and are excited about integrating GenAI capabilities into production systems, we’d love to hear from you. You’ll be working on integrations, RAG pipelines, prompt evaluations, fine-tuning, and agent workflows all while helping us ship features that directly serve our customers. — What You’ll Work On Building and scaling backend APIs with Node.js and TypeScript Developing robust and performant frontends with Next.js Designing and implementing integrations with AI models, APIs, and databases Working on GenAI-specific workflows: RAG, prompt evals, fine-tuning, agent orchestration Collaborating with the team to experiment, prototype, and ship production-ready features Contributing to deployment, testing, and monitoring pipelines — You Should Know (or Be Ready To Learn Fast) Node.js, Next.js, and TypeScript (3+ years hands-on experience required) Database systems (SQL/NoSQL) and API-driven development Modern development practices: testing, CI/CD, deployments Cloud environments (AWS, GCP, or Azure) How GenAI workflows fit into real-world applications (RAG, LLM agents, fine-tuning) — About AICamp AICamp is a small, fast-moving startup building Agentic AI Workspaces — helping teams create and deploy internal AI agents. We care less about hype and more about how AI is actually used in day-to-day work. At AICamp, you’ll work directly with the founders, ship features fast, and learn how AI products are built, tested, and adopted — all in a remote, collaborative setup. — What You’ll Get Out of This A front-row seat to how AI-first products are designed, built, and scaled A chance to ship features that directly serve customers — not just internal tooling Direct access to the founding team — no corporate layers Freedom to experiment, break things, and build smarter workflows Exposure to both engineering and the business side of AI product development — How to Apply Fill out this form
What you’ll do
Build and scale backend APIs with Node.js and TypeScript, develop performant Next.js frontends, and integrate AI models, APIs, and databases. Implement GenAI workflows such as RAG, prompt evaluation, fine-tuning, and agent orchestration, while collaborating on production features and deployment, testing, and monitoring pipelines.
Requirements
Requires at least three years of hands-on experience with Node.js, Next.js, and TypeScript, along with knowledge of SQL or NoSQL databases and API-driven development. Candidates should know or be ready to learn modern testing, CI/CD, deployment practices, cloud environments, and real-world GenAI workflows.
Listed skills
- Node.js · Preferred
- TypeScript · Preferred
- Next.js · Preferred
- SQL · Preferred
- CI/CD · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Node.js
- TypeScript
- Next.js
- Backend API Development
- SQL
- NoSQL
- API Integration
- Generative AI
- Retrieval-Augmented Generation (RAG)
- Prompt Evaluation
- Fine-Tuning
- AI Agent Orchestration
- Testing
- CI/CD
- Cloud Environments
- Deployment and Monitoring
Job areas
- Software
- Technology
- Engineering
