AI Solutions Development Internship
Location: Remote
Type: Part-time, Paid Internship
Are you a student or an AI enthusiast eager to delve into the world of Large Language Models (LLMs) and their applications in risk intelligence? We are offering a dynamic part-time paid internship for those passionate about exploring the frontier of AI technology and its practical applications in the field of risk judgment and decision-making.
Key Responsibilities:
Develop, test, and deploy custom AI agentic frameworks such as AutoGen, OpenAI Assistants, XAgent, and others.
Explore visual AI programming environments like Rivet, Flowise, Langflow, or OpenAI Playground to create intuitive and effective AI solutions.
Contribute to the the development of our proprietary model(s) by way of fine tuning and Retrieval Augmented Generation (RAG).
Integrate Large Language Models with Postgres databases to enhance our risk intelligence capabilities.
Collaborate with a team of experts in risk judgment and decision-making to tailor AI solutions that address real-world challenges.
Participate in the entire lifecycle of AI solution development, from ideation to deployment and feedback integration.
Qualifications:
Demonstrable passion and ability in deploying LLM-driven AI technologies.
Proficiency in one or more AI agentic frameworks (AutoGen, OpenAI Assistants, Xagent, etc.).
Familiarity with Visual AI programming environments (Rivet, Flowwise, Langflow, etc.).
Experience integrating LLMs with Postgres databases (i.e., pgvector).
Familiarity with vectorization, tokenization, and RAG best & emerging practices.
A demonstrable interest in prompt engineering emerging research and best practices.
Excellent problem-solving skills and a keen interest in AI applications in mixed semantic and tabular data.
Ability to work independently and as part of a team in a remote setting.
Currently enrolled in or a recent graduate of a relevant degree program is preferred but not mandatory.
What We Offer:
A platform to explore and contribute to cutting-edge AI applications in risk intelligence.
Collaboration with a team of risk and intelligence experts.
A real-world rapid deployment environment of mobile and Web solutions.
Flexible working hours to accommodate your academic commitments.
A nurturing environment for professional growth and skill development.
Application Process: Interested candidates should submit a resume along with a brief cover letter highlighting relevant experience and interest in the field of AI.
For further inquiries, please contact info[at]safe-esteem.com