Responsibilities
- Design and implement Agentic Workflows to automate research analysis
- Build RAG (Retrieval-Augmented Generation) pipelines to extract insights from technical documents
- Work with Knowledge Graphs to structure unstructured information
- Optimize prompts and interactions with various Large Language Models
- Strong proficiency in Python
- Understanding of LLMs and how to interact with them programmatically
- Knowledge of machine learning fundamentals
- Curiosity about AI Agents and autonomous systems
Preferred qualifications
- Experience with frameworks like LangChain, CrewAI, or similar
- Familiarity with Vector Databases or Search algorithms
About the company
Serinyx is an advanced research intelligence platform that empowers academic institutions to assess, analyze, and gain insights from scientific publications. Using cutting-edge AI and Multi-LLM agents, we automate the extraction of knowledge from complex technical documents, transforming how research is discovered and evaluated.
We are looking for 3-6 passionate Technical Interns to join our team. You will work on a live production system, applying modern software engineering practices and advanced AI concepts to real-world challenges.
**AI/ML Engineer Intern / Student Worker
Focus: Large Language Models, Agentic Workflows, and Document Intelligence
About the Role**
You will work on the core intelligence of the Serinyx platform, building systems that understand and analyze academic research. You will explore how multiple AI agents can collaborate to solve complex problems.