The Role
Build and deploy AI systems for logistics and e-commerce workflows, including LLM-powered automation, AI agents, copilots, RAG systems, analytics chatbots, evaluation frameworks, alerting, monitoring, and internal search. Work with Product, Engineering, and Data teams to turn prototypes into production services using Python, APIs, vector databases, cloud deployments, and observability tools.
Summary Generated by Built In
Title: AI Engineer - Internship
Department: Product
Location: Bangalore [In-Office]
Type: Internship
YOE: 0-1
Who We Are:
Since 2017, ClickPost has been the post-purchase intelligence platform that turns logistics complexity into a competitive advantage for the world's leading retailers, including Walmart, Nykaa, Mars, Adidas, Bluestone, GIVA, Kapiva, and 450+ brands across India, Southeast Asia, the Middle East, and North America. Through a single API, our platform manages tracking, exceptions, and returns across 600+ pre-integrated carriers, with AI allocating every shipment to the optimal carrier and resolving delivery issues before orders fail.
And we're not standing still. We're actively building the agentic layer for post-purchase, from AI voice agents like Parth to a growing suite of agents that resolve delivery exceptions, confirm orders, and recover lost sales. This is real, in-production AI, live with customers today.
We process 50M+ shipments every month, helping brands cut failed deliveries and "where-is-my-order" queries while converting more returns into exchanges.
We're one of the rare companies operating at the intersection of cutting-edge AI, enormous scale, and a brand respected across the global SaaS and e-commerce world. Our core values of transparency, continuous learning, ownership, and speed, plus a team that includes several ex-startup founders, make this a place that's both fast-moving and rich with opportunities to learn. Our vision is to become the global standard for post-purchase intelligence, where logistics complexity never limits a brand's growth.
About the Role:
- We’re looking for an AI Engineer Intern who can help bring AI ideas, internal automations, and local prototypes into production systems used across logistics and e-commerce operations at scale.
- At ClickPost, we process millions of shipment events and power logistics operations for leading e-commerce brands. We’re now building AI-first systems across recommendations, support, operations, analytics, onboarding, and delivery intelligence.
- If you love building with LLMs, shipping fast, and solving messy real-world problems with AI, this role is for you.
What you'll work on:
You’ll work closely with Product, Engineering, and Data teams on AI systems across logistics workflows.
Projects may include:
- Creating a flexible workflow automation tool
- Implementing LLM-powered decision making across workflows
- Building rigorous evals framework
- Improving ClickPost's analytics chatbot
- Setting up ClickPost MCP servers
- Developing smart alerting and monitoring system
- Converting internal AI experiments and scripts into production-ready services
- Building AI copilots for operations, support, onboarding, and analytics
- Creating internal search systems across logs, dashboards, configs, and documentation
- Building AI agents for debugging, RCA generation, and operational workflows
- Prompt engineering and feedback loops
- RAG systems on logistics and operational data
- Integrating with existing ClickPost tools and dashboards
Tech Stack/ Area:
You will work on:
- Claude Code
- Claude Design
- Anthropic / Gemini APIs
- Python
- FastAPI / Flask
- OpenAI / Claude / Gemini APIs
- LangChain / LlamaIndex
- Vector databases & embeddings
- SQL & analytics systems
- Redis / queues / async workflows
- Docker & cloud deployments
- Monitoring and observability systems
What we are looking for:
Must Have:
- Built and deployed full-stack applications written by AI
- Built and deployed self-written full-stack applications (any tech stack)
- Hands-on experience with LLMs and AI agents
- Strong problem-solving ability
- Comfort with APIs, backend systems, and tech jargon
- Familiarity with cloud deployment
- Built eval frameworks for AI workflows
- Ability to independently ship projects (take an idea from "works on my laptop" to "running in prod")
- Deep understanding of customer pain points
Good To Have:
- Strong Python fundamentals
- Product and design knowledge
- RAG pipelines / embeddings knowledge
- Prior 3rd-party open-source work
What Matters More Than Your Resume:
- You build things and experiment fast
- You can turn ideas into working systems
- You’re curious about applied AI, not just theory
- You care about impact and usability
What we offer/Perks:
- Paid Internship with potential for full-time employment.
- Duration: 6 Months
- Flexible work hours
- Mentorship from experienced Product Managers, Data Scientists who are eager to guide you.
- Hands-on experience working on real business problems that matter.
- Networking opportunities or team events
🔥 Don't miss out on the chance to jump-start your career at ClickPost—apply now!
Skills Required
- Built and deployed full-stack applications written by AI
- Built and deployed self-written full-stack applications using any technology stack
- Hands-on experience with LLMs and AI agents
- Strong problem-solving ability
- Comfort with APIs, backend systems, and technical terminology
- Familiarity with cloud deployment
- Built evaluation frameworks for AI workflows
- Ability to independently ship projects from prototype to production
- Deep understanding of customer pain points
- Strong Python fundamentals
- Product and design knowledge
- Knowledge of RAG pipelines and embeddings
- Prior third-party open-source work
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The Company
What We Do
ClickPost is a post-purchase intelligence and logistics software platform for eCommerce and direct-to-consumer brands. It helps companies manage shipment tracking, carrier decisions, delivery exceptions, proactive customer communications, and returns. By applying data science and AI across carrier and shipment operations, ClickPost enables brands to improve delivery performance, recover revenue, scale fulfillment, and turn post-purchase experiences into customer loyalty and repeat sales.
