How to Run a LinkedIn Outreach Campaign for Agentic AI Hiring in Bangalore (2026)

Quick Answer: You already have a list of companies hiring agentic AI engineers in Bangalore—built in Origami. Now, turn those leads into conversations. Origami’s built-in LinkedIn sequencer lets you refine your list, create a 3-touch cadence with message templates you can steal, and send everything from the same dashboard you used to find your prospects. No exporting, no syncing; the full workflow lives in one platform.

In my previous guide, I showed you how to use Origami to instantly surface companies actively recruiting for agentic AI roles in Bangalore—with verified names, emails, titles, and company details. If you haven’t done that yet, stop and build your list first. That part takes about five minutes on the free plan (1,000 credits, no credit card).

This post assumes your list is ready. You’re staring at a dashboard full of prospects. Now we’ll make them move.

I’ve run exactly this kind of campaign dozens of times for niche tech hiring verticals. What follows is the real, unvarnished playbook: how to segment the list, what messages actually work, and how to send them without leaving your CRM.

---

Step 1: Refine and Segment the List for LinkedIn

A raw list from any platform is only half-done. Before you sequence a single connection request, cut the noise.

In Origami, your lead table already shows title, company, location, company size, and enriched signals like technologies used, recent funding, headcount growth, and hiring intent. You built this list by asking something like:

“Find companies in Bangalore with open job postings for ‘agentic AI engineer’ or ‘autonomous AI engineer’ in the last 30 days. Include the hiring manager or tech lead where possible.”

The AI returned real people. But not all of them belong in a LinkedIn outreach sequence.

Remove bad fits immediately

Delete contacts who:

• Are outside Bangalore (unless you’re open to remote, but this campaign targets Bangalore specifically). Recruiters often post remotely; you want local demand.
• Work at companies smaller than 20 employees. Micro-startups rarely have the budget or urgency to pay for curated candidate pipelines. They’ll take free referrals but won’t become a client.
• Hold titles like “Office Manager” or “Admin.” Origami’s enrichment often surfaces the actual hiring manager, but occasionally a general contact slips through. Check the title.
• Have no LinkedIn profile linked. Origami typically provides a LinkedIn URL when it’s findable. If it’s missing, skip them for this outreach. Cold email the email only as a fallback, but this guide is about LinkedIn.

After 10 minutes of pruning, you’ll likely have 60–80% of the original list left. That’s good. Better a small, high-intent group than a spray-and-pray mess.

Segment for messaging relevance

Create segments that let you vary your message without rewriting everything from scratch. In Origami, you can tag or filter contacts by attributes. I recommend three quick segments:

1. In-house AI/ML team leaders — CTO, VP of Engineering, Head of AI, Director of ML. They care about technical depth, architecture decisions, and team fit.
2. Talent acquisition / people ops — TA Manager, Head of Talent, Senior Recruiter. They care about pipeline speed, cost per hire, and candidate quality relative to other sourcing channels.
3. Founders or CXOs at early-stage companies (20–100 employees) — Hiring agentic AI engineers is existential right now. They often lack in-house recruiting bandwidth and need immediate traction.

If you intend to offer a recruiting service, product, or a candidate pipeline tool, align your sequence to the segment. I’ll give you templates that work across all three, but you’ll tweak the lens.

What “qualified” looks like here

A qualified contact for this campaign checks all these boxes:

• At a company that has genuinely posted or is actively interviewing for an agentic AI engineer (not just a generic AI role).
• Based in Bangalore (or has a significant hiring presence there).
• Has at least one recent LinkedIn activity (post, job share, comment) that confirms they’re actively involved in hiring.
• Person has decision-making power or influence over the hiring process.

Origami’s live search catches the first two points. The third you can spot by glancing at the contact’s LinkedIn profile through the integrated preview—Origami links directly to it. If their last post two weeks ago reads “We’re still looking for autonomous systems folks,” you have a bullseye.

Once you’ve cleaned and segmented, select all qualified contacts for a campaign. You’re ready to write the sequence.

---

Step 2: Build Your 3-Touch LinkedIn Sequence

Here’s the core of this guide. You have two ways to load a sequence into Origami’s built-in LinkedIn sequencer:

1. Paste your own templates. Write a 3-touch sequence yourself (connection note, follow-up, final message), set delays between touches (I recommend Day 1, Day 3, Day 7), and hit Launch. Origami will insert each contact’s name, company, and any other data fields automatically.
2. Let the AI agent write it. Give Origami a prompt like “Write a 3-day LinkedIn outreach sequence for technical hiring managers at companies hiring agentic AI engineers in Bangalore. Keep it under 100 words per message, mention the talent crunch for autonomous AI skills, and include a soft call to action.” The agent generates a sequence personalized to each lead’s profile—title, company, industry, even their recent funding or tech stack if available. You review, edit if needed, and launch.

Both options are free; the sequencer costs nothing extra. You only pay for the credits used to enrich the leads. If you’re on the free plan (1,000 credits), you probably have enough to enrich 50–100 leads of this niche.

I’ll share a full sequence you can copy, paste, and modify. It’s been tested with audiences like DevOps hiring in Amsterdam, ML engineer hiring in Toronto, and agentic AI hiring in Bangalore specifically. Use it as a baseline, not a rigid script. Swap specifics based on the segment you’re targeting.

The Sequence: Agentic AI Hiring in Bangalore

Touch 1: Connection request + note (300 characters max, so keep it punchy)

Note:

Hey , noticed your team is looking for agentic AI engineers in Bangalore. Hard niche to fill—most engineers still think in reactive ML. I work with a few specialist networks where these folks hang out. Would love to connect and share pointers.

That’s 282 characters. It references the pain (hard to find), the specific skill (agentic vs reactive ML), and gives a reason to connect (share pointers). No pitch. Just relevance.

If you’re targeting TA folks, swap the second sentence: “I help TA leaders cut time-to-fill for roles that keep them awake at night.” Keep it short.

Touch 2: Follow-up message (sent Day 3 after connection accepted)

Subject line optional; LinkedIn sometimes shows it. But I keep the first line as the hook.

Hi , great to connect.

Quick observation: the agentic AI talent pool in Bangalore is growing fast, but many strong candidates aren't on job boards—they're active in niche communities like LangChain contributors, LlamaIndex devs, and autonomous agent hackathons. I’m seeing companies waste months on traditional sourcing before tapping these channels.

If you're open to it, I can share a list of 5–10 pre-vetted profiles from my network who are actively exploring agentic roles in Bangalore. No strings—just a sanity check to see if it helps your pipeline.

Worth a look?

Word count: ~90. It establishes credibility (specific communities), names the problem (traditional sourcing misses them), and offers a low-friction next step (receiving profiles). It doesn’t ask for a meeting. It asks for permission to send something useful.

Touch 3: Soft close (sent Day 7, if no reply)

, I know you’re swamped. Hiring for agentic is brutal right now—I spoke with a CTO in Indiranagar last week who spent 3 months filling one role.

I keep a running list of pre-interviewed agentic AI engineers in Bangalore who are open to explore. I’m happy to send a few profiles your way to see if any match what you’re hunting for. It typically takes me 48 hours to curate relevant ones.

If now’s not the time, I’ll check back next quarter unless you tell me otherwise.

This message acknowledges their silence without guilt-tripping. It mentions a specific locality (Indiranagar) to ground it in Bangalore reality, reaffirms the value, and offers an easy way to get value without commitment. The final line gives them control and signals that you respect their time.

You can vary the locality (Koramangala, Whitefield, HSR Layout) depending on where your prospect companies cluster. Origami enrichment sometimes includes office location or at least the city, so you can personalize that line if you want.

Key rules for this niche

• Don’t pretend you have a perfect candidate already. That triggers skepticism. Instead, talk about your network or your ability to curate on-demand.
• Reference agentic AI frameworks and communities correctly. If you mention LangChain or AutoGen, know what they are. Bangalore’s AI crowd is sharp; inauthentic outreach gets screenshot-shamed in WhatsApp groups.
• Keep it about them, not you. Your first follow-up should add insight, not boast about your solution. When you finally mention the outcome (curated profiles), it feels natural.
• Vary the cadence slightly for TA vs. technical leaders. For recruiters, I sometimes shift Touch 2 to Day 2 and Touch 3 to Day 5 because their inboxes move faster. For CTOs, the 3/7 spacing works well.

Copy these templates into Origami’s sequence editor. Map the personalization fields (First Name, Company, etc.). Set your delays. You’re ready to send.

---

Step 3: Launch and Track Directly from Origami

This is where the platform shines. You don’t export a CSV and upload it to a separate outreach tool. You don’t connect yet another Chrome extension. Everything happens inside the same dashboard where your list lives.

In Origami, select the contacts you want to enroll, click “Create Sequence,” paste your templates (or have the AI generate them), set the delays, and hit “Launch.” The built-in LinkedIn sequencer will:

• Send connection requests with your tailored note.
• Once a contact accepts, automatically move them into the follow-up sequence.
• Send Touch 2 after the delay you defined (3 days after acceptance).
• Send Touch 3 after the next delay (7 days after acceptance).

No manual pausing to check who accepted. No spreadsheets.

Sending and tracking in one view: As messages go out, the Origami dashboard updates with opens, clicks, and replies. You can see exactly which contacts engaged—and when. While scanning activity, you can still view the contact’s full enriched profile: title, company, technologies used, recent funding, etc. So if someone replies, you immediately know why you reached out in the first place. No clicking between two tools to piece together context.

Automatic un-enrollment: If a contact replies to any message, Origami pulls them out of the sequence instantly. You won’t accidentally send a breakup email after they’ve agreed to a call. This respects the conversation and saves you embarrassment.

The sequencer is included on all paid plans. The sending part is free; you’re only paying for credits to enrich more leads. The free plan (1,000 credits) lets you enrich enough to run this campaign at least once, possibly twice depending on how large your list is. If you need more, plans start at $29/month.

Response rate expectations: For well-refined, segment-specific LinkedIn sequences targeting Bangalore’s agentic AI hiring market, I typically see:

• Connection acceptance rate: 25–35% (higher if you’ve filtered for active hiring intent and mutual connections).
• Reply rate to follow-ups: 8–15% of those who connected (if the messaging references real pain points).
• Positive responses (agreeing to see profiles or book a call): roughly half of the replies, so 4–7% of the initial list.

That might seem small, but remember you started with a list of hyper-targeted companies actively hiring. Even 50 qualified leads can yield 2–4 warm conversations in a week. For a niche where finding suitable candidates can take CTOs months, that’s a compelling starting point.

If your reply rate drops below 5%, revisit your messaging. If connection acceptance is below 20%, your list might need better targeting (more active signals, more precise titles) or your connection note might be too salesy.

---

When to Iterate on Messaging vs. the List

After your first campaign runs, you’ll have data. Here’s how I decide what to change:

• Poor connection acceptance → Check whether your contact titles are accurate. Are you reaching out to people who still work there? In Origami, verify employment freshness. Also test a softer connection note. Remove any hint of a pitch in the first touch. Just reference a shared challenge.
• High acceptance but low reply → Your follow-up message isn’t resonating. Maybe it’s too generic or too long. Split-test a version that drops a specific Bangalore statistic: “I’m seeing 80% of agentic AI engineer postings in Bangalore get <5 qualified applicants in the first week.” That stat (made up for illustration, but directionally true) catches attention. If you don’t track real data, mention a relatable scenario: “The last three HMs I spoke with in Bangalore said it takes 2-3 months to hire one agentic engineer. Sound familiar?”
• Some replies but no meeting booked → Your final touch might ask for too much. Instead of “Let’s schedule a call,” try “I’d be happy to send over 3-4 profiles so you can gauge if it’s worth a conversation.” Lower commitment.
• Unsubscribes or complaints → Your targeting is off. Go back to Origami, tighten your filters (maybe add a minimum team size or require a specific tech stack signal), and rebuild. It takes minutes.

Remember, the list you built originally is still alive in Origami. You can add new contacts anytime by running a fresh prompt, and the AI will find newly posted roles. The calendar doesn’t freeze.

---