Senior AI/ML Engineer
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Job Description
Senior AI/ML Engineer designing and implementing workflows leveraging LLMs at iBusiness. Collaborating with cross-functional teams to develop scalable AI-driven solutions.
Responsibilities:
- Design, implement, and optimize document intelligence pipelines that leverage LLMs to extract, interpret, and structure information from unstructured and semi-structured documents (PDFs, images, forms, contracts, etc.)
- Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.
- Collaborate with product managers, data scientists, and software engineers to integrate LLM-based automation into scalable solutions.
- Create and architect Interpreters, Agented Systems Architect and implement document-centric RAG systems, enabling accurate retrieval and reasoning over large corpora of documents
- Develop systems for key-value extraction, table extraction, and entity recognition from complex documents (e.g., invoices, financial statements, contracts)
- Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation.
- Work on the customization and fine-tuning of models to optimize performance for specific use cases.
- Develop, test, and deploy LLM-based services in production environments.
- Provide technical leadership and mentorship to other engineers on the team.
- Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.
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.
- Excellent communication and collaboration skills, with the ability to work cross-functionally.
- Problem-solving mindset, with the flexibility to adapt models and workflows to evolving product needs.
Benefits:
- medical, dental, and vision coverage
- 401(k) with company match
- paid time off
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