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Job Description

- Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.

- Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval.

- Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.

- Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).

- Programming Languages: Proficiency in Python and React.

- Data Analysis: Strong analytical skills and experience with data analysis tools.

- Problem-Solving: Excellent problem-solving abilities and attention to detail.

- Communication: Strong verbal and written communication skills.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

- Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.

- Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval.

- Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.

- Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).

- Programming Languages: Proficiency in Python and React.

- Data Analysis: Strong analytical skills and experience with data analysis tools.

- Problem-Solving: Excellent problem-solving abilities and attention to detail.

- Communication: Strong verbal and written communication skills. - Graph RAG and knowledge graphs: Proficiency in using Graph RAG for complex data relationships and insights.

- Expertise in building and managing Knowledge Graphs to represent and query complex data structures.