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AI Engineer Intern
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Clinikally (YC S22)
Job Description
AI Engineer Intern — Clinikally
At Clinikally, we’re building the future of personalized dermatology and haircare in India using AI and expert-led care. Backed by leading global investors and trusted by over 3 million users in just 3.5 years, we’re growing fast and looking for ambitious engineers who want to build real-world AI systems at scale.
Role Overview
As an AI Engineering Intern, you’ll work on Clara, Clinikally’s multi-agent AI platform for dermatology and haircare.
This is a hands-on engineering role focused on building and improving production-grade AI systems not toy demos.
What You’ll Work On
Website: https://www.clinikally.com/
Instagram: www.instagram.com/clinikallyofficial/
At Clinikally, we’re building the future of personalized dermatology and haircare in India using AI and expert-led care. Backed by leading global investors and trusted by over 3 million users in just 3.5 years, we’re growing fast and looking for ambitious engineers who want to build real-world AI systems at scale.
Role Overview
As an AI Engineering Intern, you’ll work on Clara, Clinikally’s multi-agent AI platform for dermatology and haircare.
This is a hands-on engineering role focused on building and improving production-grade AI systems not toy demos.
What You’ll Work On
- Build and improve specialized AI agents within Clara’s 7-agent architecture
- Enhance agent routing, orchestration, and multi-agent workflows
- Design agent handoffs, fallback logic, and multi-step reasoning flows
- Improve the hybrid RAG pipeline using Pinecone for 15,000+ product SKUs
- Add multimodal features like image classification, OCR, and vision-based diagnosis flows
- Contribute to evaluation systems including latency tracking, prompt versioning, and testing frameworks
- Help build doctor-feedback learning loops for future model training (DPO/SFT pipelines)
- Strong Python fundamentals with experience using LLM APIs (OpenAI, Anthropic, Gemini, etc.)
- Understanding of LLM agents, tool calling, routing, and structured outputs
- Familiarity with Git and collaborative development workflows
- Experience with multi-agent frameworks like LangGraph, CrewAI, AutoGen, or custom orchestration systems
- Knowledge of agent patterns such as ReAct, tool-calling, and multi-step planning
- Experience with RAG pipelines and vector databases (Pinecone, FAISS, Chroma, etc.)
- Prompt engineering and LLM evaluation experience
- React / Next.js
- FastAPI, Docker, or Redis
- Work on production-scale AI systems used by millions
- Build real multi-agent workflows with cutting-edge LLM infrastructure
- Learn fast in a high-ownership, fast-moving startup environment
- Collaborate closely with engineers, product teams, and domain experts
Website: https://www.clinikally.com/
Instagram: www.instagram.com/clinikallyofficial/
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