AI-Native Software Engineer – Trainee
Trainee role focused on building and maintaining marketing sites across Spektra's product portfolio using AI coding agents like Claude Code and Cursor. The developer directs AI for implementation while owning design discipline, SEO, and brand identity using technologies like React, Next.js, Astro, and Tailwind CSS.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Intern
- Employment
- Contract
- Experience
- 0+ years
- Category
- Software engineering
- Posted
Skills
Must have
- AI fluency with tools like Claude Code, Cursor, or similar
- Frontend development skills in Astro, Next, React, and Tailwind v4
- SEO depth including canonical URLs, redirects, and structured data
- Design taste and ability to maintain visual identity
- Multi-brand judgment and voice switching
- Proficiency in Git
- Bias to ship and comfort with iterative feedback
- Knowledge of modern build tooling and OKLCH color
Full description
This is a remote position.
Location: Remote across India; may transition to onsite in the future
Experience: Freshers and early-career candidates (0–1 year) are welcome. You should have built at least a few real projects using AI coding agents, whether personal, academic, freelance, or open source.
The role
You’ll learn to ship complete work across the Spektra portfolio (CloudLabs, CSP Control Center, SaaSify, CloudEvents, and spektrasystems.com) by directing AI coding agents. That work includes product features, APIs, integrations, marketing sites, landing pages, and internal AI tools.
You’ll learn to turn a requirement into an agent-ready spec, run the agents, check what they produce, and get the result into production. You won’t be writing most of the implementation code by hand. Instead, you’ll learn to direct the agents well and to take responsibility for what they produce. Senior engineers will review your work, mentor you, and give you progressively larger pieces to own.
What you’ll do
- Break small requirements into clear, agent-ready specs with acceptance criteria and test cases. You’ll take on larger features as you grow.
- Use AI coding agents such as Claude Code, Codex, Cursor, and Copilot agents to implement work in one or more of these areas:
- .NET / ASP.NET Core APIs, SQL Server, and Angular in the CloudLabs core
- Next.js/React front ends, TypeScript APIs, and Python services in product modules
- Astro/Next.js and Tailwind for marketing sites and landing pages
- Review agent output before raising a pull request. Check that it works, handles edge cases, and doesn’t introduce obvious security problems. Then go through code review with senior engineers and learn from their feedback.
- Get agents to write tests (unit, integration, and Playwright end-to-end) and learn to tell a test that proves something from one that just passes.
- Build and update marketing pages while keeping each brand’s voice and design consistent. You’ll learn our design system and the basics of technical SEO along the way.
- Help build small AI agents and automations that remove manual work across the business.
- Note where agents repeatedly go wrong, and help improve AGENTS.md, skills, and templates so they do better next time.
- Ship through CI/CD to QA and production on Azure, and help investigate and fix issues after release.
- Write clear PR descriptions and short notes on what you built and why.
What you’ll learn
- How to work in a real production codebase with AI agents as your main tool, including how to give them the right context, run them in parallel, and review their work critically.