AI Engineer Intern

Overview

We are seeking a passionate and creative AI Engineer Intern to join our team. In this role, you will contribute to the end-to-end planning, development, implementation, and maintenance of a wide range of AI Agents and Generative AI solutions while gaining valuable hands-on experience with cutting-edge AI frameworks and development technologies.

Responsibilities

1. Plan, design, and develop AI agents and other AI automations in production
2. Build and optimize RAG (Retrieval Augmented Generation) systems
3. Serve AI Agents and AI Solutions through REST API servers using FastAPI
4. Set up and maintain vector databases and RAG pipelines for efficient information retrieval
5. Collaborate with the team on NLP and GenAI projects
6. Participate in code reviews and technical discussions
7. Document your work and contribute to knowledge sharing

Required Skills

1. Strong Python programming fundamentals
2. Experience with agentic frameworks (such as CrewAI, ADK, Langgraph, Langchain)
3. Knowledge of FastAPI, Flask, and similar Python web development frameworks
4. In-depth understanding of RAG (Retrieval Augmented Generation) systems
5. Familiarity with vector databases (e.g., Qdrant) and Vector search and embeddings
6. Basic knowledge of MCP(Model Context Protocol) servers and clients. FastMCP knowledge preferred.
7. Basic understanding of NLP, LLMs, and Generative AI concepts
8. Experience with Server-Sent Events (SSE) and WebSockets
9. Knowledge of RESTful API design principles
10. Knowledge of SQL/MySQL.
11. Preferred Qualifications: Currently pursuing a degree in Computer Science, AI, or a related field
12. Previous experience or relevant work with machine learning projects
13. Familiarity with software development practices (Git, GitHub actions, CI/CD, Docker basics, code review, testing)
14. Strong problem-solving abilities and analytical thinking
15. Excellent communication and teamwork skills

What We Offer

1. Hands-on experience with state-of-the-art AI technologies
2. Mentorship from experienced engineers
3. Opportunity to work on real-world AI projects
4. Collaborative and innovative work environment
5. Potential for future full-time employment
6. High exposure in a fast-evolving startup. You’ll be working on impactful tasks from day one.
7. A hands-on learning environment with real-world AI systems, not just theory.
8. Freedom to explore, ideate, and iterate fast, with room for creativity and experimentation.
9. Closely work with knowledgeable engineers and designers.
10. Opportunity to wear multiple hats and gain cross-functional skills.
11. A collaborative, innovative culture that values ownership and learning by doing.
12. Potential for future full-time employment.