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Job Description

We are hiring two AI/LLM Engineers (1 Mid-Level, 1 Senior) to join a small, focused team building backend features for an existing Retrieval-Augmented Generation (RAG) service. You'll work on extracting structured data from diverse content typesimages, graphs, eBooks, journals, and moreusing visual-based models. This role involves experimentation, model development, and comparing LLMs for visual RAG use cases. Youll deploy code to non-prod environments and support production rollout in collaboration with the DevOps team. While primarily a heads-down, individual contributor role, clear communication and collaboration with the team is expected.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

1+ years of experience as an AI/ML Engineer

2+ years of Python development experience, including API creation, model training, testing, and general backend programming

Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval.

Strong communication skills able to work independently while providing clear updates to the team Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)

Experience with OpenSearch

Experience with Airflow and understanding of data orchestration

Exposure to RAG architectures, especially visual RAG use cases null

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].