
AI Systems Intern
Key Responsibilities
- Collaborate with cross-functional teams to gather requirements on AI features.
- Assist in designing, developing, and maintaining AI system components, including agent orchestration, tool integration, and LLM workflows.
- Support data preproc., feature engineering, model training and deployment tasks.
- Help integrate and test LLM-based modules with existing product pipelines.
- Participate in code reviews, testing, and documentation for high-quality deliverables.
- Stay updated on the latest AI/ML research and tools applicable to product enhancements.
Required Qualifications
- Currently pursuing a Master’s or PhD degree in Computer Science, Electrical Engineering, Artificial Intelligence, Data Science, or a related field.
- Strong programming skills in Python and familiarity with AI/ML libraries and frameworks.
- Good understanding of LLMs and their usage across domain-specific applications.
- Experience in designing and deploying RAG pipelines.
- Familiarity with agent development concepts, including task decomposition, tool integration, and agent-to-agent communication.
- Experience with agent frameworks such as LangGraph and Autogen.
- Good communication skills and ability to work collaboratively in a team environment.
What You’ll Gain
- Real-world experience building AI systems used in dynamic, domain-specific applications.
- Exposure to cutting-edge AI technologies and product development workflows.
- Mentorship from experienced engineers and product leaders.
- Opportunity to contribute to impactful AI features that improve user productivity.
Apply at https://bluphlux.com/apply/66dfb6c9fa75684170ba532b/687acb0fcb263212f194cb54