SR. AI Engineer

Job Description

A client of Insight Global is seeking an experienced Senior AI Engineer to join their team. This individual will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate the process and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. They will collaborate closely with cross-functional teams, contributing to the development of scalable AI-driven solutions.

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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 5+ years of experience with document processing systems, including OCR and text extraction tools (e.g., Tesseract, AWS Textract, Azure Form Recognizer, Google Document AI)

• Experience working with unstructured and semi-structured data (PDFs, scanned images, forms)

• Proven experience working with foundational models in production environments.

• Strong programming skills in Python with experience in relevant ML libraries.

• Hands-on experience in deploying machine learning models at scale. - Master’s or PhD in Computer Science, AI, Machine Learning, Physics or a related field

• Experience with MLOps and AWS

• Familiarity with reinforcement learning and other advanced NL techniques

• Experience building risk modules