Backend Engineer (Node.js, AI Applications)
Summary
CML Team is hiring a Middle Backend Engineer to build production backend services for AI-powered products — working with LLM APIs, prompts, RAG, voice agents, and multi-agent workflows. The core stack is Node.js/TypeScript, with LangChain, LangGraph, Vercel AI SDK, Python, and React as nice-to-haves.
We are looking for a strong Middle Backend Engineer to help us build AI-powered products and workflows. This role is ideal for someone with solid Node.js / TypeScript experience who is already exploring AI in practice and wants to go deeper into RAG, voice agents, and multi-agent systems.
What matters most is a strong backend foundation, the ability to build reliable production systems, and a genuine interest in how LLM-based applications work and in using AI to speed up delivery.
What you’ll do
Design and build backend services for AI-powered product features
Work with LLM APIs, prompts, AI SDKs, and agent workflows
Help shape systems involving retrieval, grounding, tool use, and orchestration
Collaborate on products that include Node.js backend
Improve reliability, latency, observability, and overall production readiness of AI features
Explore and implement capabilities around RAG, voice experiences, and multi-agent systems
What we’re looking for
Strong commercial experience with Node.js / TypeScript, 2+ years of experience
Experience building and maintaining complex backend systems in production
Solid understanding of architecture, APIs, async flows, integrations, and system reliability
Some hands-on exposure to LLM applications: prompt design, AI APIs, agent flows, or internal AI tooling
Ability to learn quickly in a fast-moving technical area
Strong engineering judgment and product mindset
A degree in Computer Science, Mathematics, or a related field is a plus, but not required
Nice to have
Experience with LangChain, LangGraph, Vercel AI SDK, or similar frameworks
Familiarity with RAG concepts such as chunking, embeddings, retrieval, reranking, and hallucination reduction
Experience with voice agents or real-time AI experiences
Experience with React
Familiarity with Python
Why this role
You’ll work on real AI product problems, not toy demos
You’ll have room to grow into RAG and agentic systems
We’re open to hiring a strong engineer with the right mindset, even if some of the AI-specific depth is still developing
