AI Content Strategist

Keka Technologies Private Limited; Mumbai; On-site; INR 500,000 - 800,000; Full time

Job summary

Keka Technologies Private Limited is seeking an AI-savvy content editor to own our editorial layer on AI news and research. You will build an AI-first pipeline, combining rigorous fact-checking with efficient repurposing, and ensure content ranks well in search and is cited by AI knowledge engines.

You will explain complex RAG concepts to a smart but busy audience, staying plugged into AI communities and current research.

Qualifications

• Must write credibly about AI and tech for a broad audience.
• Able to explain RAG concepts clearly to non-experts.
• Strong understanding of how content is discovered in 2026 and beyond.

Responsibilities

• Own the editorial layer of AI news and research with a distinctive perspective.
• Manage an AI-first editorial pipeline with research, drafting, fact-checking and repurposing.
• Lead SEO and AEO efforts to achieve Google ranking and citations by knowledge engines.
• Develop systems to detect and mitigate hallucinations in content.

Skills

AI content writing

SEO & AEO

RAG explanation

Editorial judgment

Tools

Claude

Perplexity

Notebook LLM

Job description

We need someone who writes with AI and also understands how it works. Not at a PhD level. More like you can explain RAG at dinner and make it interesting. You follow the space, you know what shipped this week, and your content shows it.

You are not just a writer who uses ChatGPT. You get the tech well enough to write about it with real credibility, and you know how people discover content in 2026: half of it never touches a search results page anymore.

What You Will Own

• The editorial layer of our channel: our lens on AI news and research, a take with a receipt, never a neutral roundup
• An AI-first editorial pipeline: research, drafting, fact-check, repurposing, with a human judgment layer on top and named checkpoints where a person actually reads
• SEO and AEO together: ranking on Google and getting cited by Perplexity, ChatGPT, and AI Overviews
• The hallucination catch. You know where LLMs make things up and you have a system for it, because one confidently wrong post costs more than fifty good ones earn.

Your First 90 Days

• The channel's 90-day content slate is scripted, vetted, and shipping on schedule
• The research-to-script pipeline is repeatable and documented, someone else could run it from your notes
• First measurable AEO win: our content cited by at least one answer engine, tracked, not vibes

Where You Live

This role does not have a tool stack; it has a diet. You are already on AI Twitter and know who is worth following and who is engagement farming. You watch what actually travels on Instagram and YouTube, because that is where our audience is. You are in a couple of AI communities (Discord, Reddit, WhatsApp groups) where things surface before the press release. You read the lab blogs and the good newsletters, and when a paper matters you read past the abstract.

Yes, you will use Claude, Perplexity, Notebook LLM and whatever else daily. But tools are learnable in a week. Being genuinely plugged in, and able to tell signal from noise, is the actual job.

Show Us

• Content you have written about AI or tech that shows you actually get it
• Your take on 3 AI tools that launched recently. What matters, what does not.
• A blog, newsletter, or social presence where you share your thinking
• On the call, explain RAG to us like we are smart but busy