AI Engineer - Intern
Bengaluru 路 Internship
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Job description
- We鈥檙e 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鈥檙e 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.
- 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
- 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
- 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
- Strong Python fundamentals
- Product and design knowledge
- RAG pipelines / embeddings knowledge
- Prior 3rd-party open-source work
- You build things and experiment fast
- You can turn ideas into working systems
- You鈥檙e curious about applied AI, not just theory
- You care about impact and usability
- 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
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