AI Engineer - Intern

COMPANY OVERVIEW

ClickPost is a post-purchase and shipping intelligence platform for enterprise and mid-market e-commerce brands. We own the part of

the order lifecycle that decides whether a customer buys again: tracking, delivery experience, returns, and the data that turns WISMO

tickets and RTOs into revenue retention and upsell. We work with e-commerce brands across India, the US, and EU, and we're mid-

expansion into North America right now, which is where this role sits.

WHY THIS INTERNSHIP IS UNIQUE

This isn't a rotation program. You report to one person: the Founding Member running Global Expansion for NA and EU, who owns a

real pipeline and a $300K new-ARR number this year. No shadowing, no busywork, no toy dataset. What you build gets used in live

by the ClickPost team & the customers.

WHAT TO EXPECT WHEN YOU JOIN

• Direct daily access to a founding-level GTM operator, not a manager three layers removed.

• Fast decisions. No committee sign-off to ship something.

• Ownership of a real system from week one, not tickets.

• Weekly reviews tied to pipeline and reply-rate impact, not activity or hours logged.

• High ambiguity, high autonomy. You'll be handed a business problem, not a spec.

RESPONSIBILITIES

• Build AI agents that scan D2C and e-commerce brand signals (funding, hiring, tech-stack changes) to flag active buying intent.

• Turn those signals into personalized SDR outbound at the account level, not templated blasts.

• Automate the manual GTM work currently done by hand: research, enrichment, sequencing, reporting.

• Build internal copilots and research agents for Sales, Marketing, and Market Research.

• Ship fast, measure against pipeline and reply-rate metrics, iterate weekly.

EXAMPLE PROJECTS YOU'LL OWN

• Signal-to-Sequence agent: ingests funding, hiring, and stack signals for named accounts and outputs a ranked list with a drafted

first touch.

• SDR research copilot: given a company URL, returns an account brief (pain points, detected 3PL/carrier stack, relevant proof

points) in under 60 seconds.

• Outbound QA agent: scores draft outreach against our rules (no generic opener, quantified value in the buyer's numbers, one clear

next step).

• Competitive signal tracker: monitors competitor moves publicly and pushes a summarized digest.

• Internal RAG copilot: over collateral, case studies, and pricing, so SDRs self-serve answers instead of pinging the team.

REQUIRED TECHNICAL SKILLS

• Strong Python. You should be comfortable writing production-adjacent code, not just notebooks.

• Working knowledge of LLM APIs (OpenAI, Anthropic, or similar).

• Prompt engineering fundamentals: few-shot design, structured output, basic evals.

• Bonus if you have experience building or orchestrating AI agents (LangChain, LlamaIndex, or your own framework).

• MCP (Model Context Protocol) fundamentals, or the ability to pick it up fast.

• REST API integration: auth flows, webhooks, rate limits.

PREFERRED QUALIFICATIONS

• A hackathon project, personal build, or open-source contribution involving LLMs or agents. Show us, don't just tell us.

• Exposure to workflow automation tools (n8n, Zapier, Make).

• Exposure to sales or GTM tooling (CRM, sequencing platforms) is a plus, not a requirement.

• Currently pursuing or recently completed a degree in CS or Engineering. Demonstrated build ability matters more than the degree.

WHAT MAKES SOMEONE EXCEPTIONAL FOR THIS ROLE

• Builds before asking permission.

• Treats it doesn't work yet as a starting point, not a stop sign.

• Cares whether the output actually gets used by the team, not just whether the code runs.

• Comfortable being handed a business problem instead of a spec.

• Ships an ugly v1 in days over a polished v1 in weeks.

LEARNING & MENTORSHIP

• Direct 1:1 mentorship from a Founding Member & senior leaders.

• Weekly build reviews: what shipped, what moved the metric, what's next.

• Real exposure to enterprise GTM: deal math, ROI modelling, buyer psychology, live deal reviews.

• No layers between you and the person who owns the business outcome.

SUCCESS METRICS DURING THE INTERNSHIP

• Qualified signals surfaced that convert into SDR-worked accounts.

• Reply rate and meeting rate on AI-assisted outbound versus baseline.

• Hours saved per week on manual research and enrichment across the team.

• At least one system running in production, not a prototype, by the end of the internship.

COMPENSATION & PERKS

• Stipend: 35-50k per month.

• Duration: 6 months, starting immediately.

• Full-time conversion possible based on performance on or before 6 months internship duration closure.

• A direct letter of recommendation, plus a real portfolio of shipped, revenue-linked AI systems, not a certificate of participation.

APPLICATION PROCESS

• Apply with your resume and one thing you've built with AI or LLMs. Send a link, not a description.

• Practical AI assignment based on a real ClickPost problem

• Technical discussion, Final discussion & then Offer (No competitive programming rounds.)

• We care more about how you think, build, and how you solve problems.