10+ years of experience with Java
5+ year of experience with Springboot building web and microservices
3+ years of experience with AWS services and deployment
1+ year of experince working with bedrock, sagemaker, tesseract/textract/textextract and other tools to enable LLM solutions
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Required Skills & Experience
A large financial organization is seeking a Software Engineer IV that will sit hybrid onsite in Cincinnati Ohio for a long term contract. This role will join an existing team that is helping data engineers and scientists to build out a platform that will enable LLMs in AWS that will be used to process documentation to extract unstructured data and convert it to structured data.
About Us: Join our innovative team dedicated to advancing the capabilities of large language models (LLMs). We leverage cutting-edge technologies like AWS Bedrock, SageMaker, Tesseract, Textextract and Textract to build scalable, high-performance solutions. If you are passionate about AI and machine learning, and eager to work on transformative projects, we want to hear from you.
As a Software Engineer focused on LLM enablement, you will design, develop, and deploy solutions that harness the power of large language models. You will work with a variety of tools and platforms to create robust, scalable systems that meet the needs of our diverse customer base.
Responsibilities:
Solution Development: Design and implement solutions using AWS Bedrock, SageMaker, Tesseract, and Textract to enable and enhance LLM capabilities.
Model Training and Deployment: Utilize SageMaker for deploying machine learning models, ensuring high performance and scalability.
Optical Character Recognition (OCR): Implement OCR solutions using Tesseract to extract text from images and documents.
Data Extraction: Use Textract to automate the extraction of structured data from scanned documents and images.
Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and other engineers, to deliver high-quality solutions.
Performance Optimization: Continuously monitor and optimize the performance of deployed models and systems.
Innovation: Stay current with advancements in AI/ML technologies and incorporate them into our solutions.
Documentation: Create and maintain comprehensive documentation for developed solutions and processes.
Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement.
Nice to Have Skills & Experience
Familiarity with terraform
Kafka
Kubernetes
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.