What are the responsibilities and job description for the Intern - AI Engineer position at ConnectiveRx?
Overview
An AI Engineer (Intern) is an entry level engineering role responsible for designing and implementing AI solutions within ConnectiveRx’s technology group. They will grow creative and technical skills by suggesting, designing, and building AI solutions. This person will work within the development team at ConnectiveRx to complete specific projects across a wide set of AI and full stack development technologies.
Responsibilities
- Work closely with senior engineers to understand and work on assigned projects
- Participate in the full SDLC, including design sessions, project estimation, iterative development, and unit testing
- Contribute to patterns and system designs, write code, and participate in code reviews
- Develop new AI modules for both internal systems and market-facing software products
- Contribute to the CRx platform by suggesting and implementing AI-based enhancements to existing frameworks, tools, and processes
Qualifications
Basic Qualifications
- Strong communication skills; ability to communicate complex concepts to both technical and non-technical team members
- Strong problem solving skills; ability to design and implement complex technical solutions
- Strong data skills, including ability to process and manipulate datasets
- Knowledge of LLMs, prompt engineering, fine tuning, and similar techniques
- Experience with RAG frameworks such as Langchain, Llama Index, Haystack, or similar
- Exposure to an OO language, databases, and multi-tier application development
- Proficiency in Python programming and experience with popular ML libraries (e.g., TensorFlow, PyTorch)
Preferred Qualifications
- Experience with custom chat bots or similar applications of LLM/NLP
- Experience with cloud technologies; particularly AWS/AI components such as Bedrock, Q, CodeWhisper, SageMaker, and the like
- Experience with OOP, web app dev, or frontend frameworks such as React
- Experience with relational databases, document databases, SQL
- Prior exposure to healthcare technology and its applications in improving patient care and outcomes
