AI Product Engineer Intern (20 Openings)

Join our engineering team to build AI Agents, Multi-Agent Systems, Enterprise CRM, Campaign Automation, RAG Applications, Browser Agents, and AI-powered SaaS products. This is a hands-on internship focused on developing production-grade AI applications.

Core Technical Skills

Programming: Python, OOP, Async Programming, FastAPI, REST APIs, Testing, Logging

LLMs: OpenAI, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, Prompt Engineering, Function Calling, Structured Outputs

Agentic AI: LangGraph, LangChain, CrewAI, OpenAI Agents SDK, Multi-Agent Systems, Agent Memory & Orchestration

RAG & Vector DBs: Embeddings, Semantic Search, Qdrant, Pinecone, Chroma, Weaviate

Automation: Playwright, Selenium, BeautifulSoup, Scrapy, n8n, Make, Zapier

Backend & Databases: PostgreSQL, MySQL, MongoDB, Redis, Docker, Git

Nice to Have: MCP, Knowledge Graphs, Neo4j, Local LLMs, AWS/GCP/Azure, Kubernetes

What You'll Build

• AI Agents & Multi-Agent Workflows

• Enterprise CRM Platforms

• Campaign Automation Systems

• AI Copilots & Assistants

• RAG-Based Knowledge Systems

• Browser Automation & AI Workflows

• Enterprise SaaS Applications

Selection Process

Resume Screening → Technical Assessment → AI Technical Interview → Final Selection

Practical Assessment

Shortlisted candidates may be asked to build an AI workflow using LangGraph, scrape company data, generate AI-powered outreach, store memory in Qdrant, automate with n8n, expose APIs using FastAPI, containerize with Docker, and deploy to the cloud.

What You'll Gain

• Work on real industry-level AI products

• Mentorship from experienced engineers

• Production-grade engineering experience

• Internship Certificate

• Performance-based incentives for exceptional contributors

• Opportunity for long-term collaboration based on performance

Only 20 candidates will be selected. If you're passionate about AI and Full-Stack Engineering, apply now!