AI Engineer

CloudRaft

Remote

Full-time

Entry

1+ yrs

Salary not listedPosted 20m ago

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Real job — pulled straight from CloudRaft’s careers page · Verified October 16, 2026 · No reposts.

CloudRaft is hiring a AI Engineer — a full-time, remote role. Apply directly on CloudRaft's careers page below.

AI Engineer

Location: India - Remote

Department: Engineering

Location Type: IN_OFFICE

Employment Type: FULL_TIME

About CloudRaft

CloudRaft builds AI and cloud-native platforms for enterprises and startups. We move fast, argue about hard problems, and ship things. If you want to grow quickly and work on stuff that actually matters to customers, this is a good place to be.

The Role

We're looking for engineers who build first and ask questions later. You'll work on AI agents, data pipelines, Kubernetes deployments — whatever it takes to get a system working in the real world. This is a high-ownership role in a startup that moves fast. You'll design, experiment, ship, and iterate. You should have strong opinions about what good engineering looks like.

This role is probably not for you if you need detailed specs before starting, prefer narrowly defined work, or aren't comfortable talking directly with customers.

What you'll do

Build AI systems that solve actual business problems, not demos
Work directly with customers to turn business challenges into technical solutions
Design and deploy AI applications that automate workflows
Run experiments, measure results, and iterate quickly
Ship production-ready code across backend systems, APIs, data pipelines, and models
Make smart trade-offs between getting it right and getting it done (we bias toward shipping)
Own outcomes, not just tasks

What we're looking for

1–2 years in software engineering, AI, internships, or research
Strong computer science fundamentals and system design experience
Clean, testable code — and enough AI experience to know when a model is generating bad code
Solid understanding of AI basics: Large language models, agentic systems, data preprocessing, MCP, multimodal systems, data retrieval and memory.
Some familiarity with cloud platforms or Kubernetes
Comfortable working with ambiguity and minimal hand-holding
Strong communication skills — you'll be talking to customers regularly
Engineering degree from an accredited university

When applying, include your portfolio and a short note on why this role is a good fit for you specifically!

Compensation Range: INR 5,00,000 - INR 10,00,000 Per Annum.