AI Engineer - NLP/LLM Data Product Engineer

Job Title: AI Engineer - NLP/LLM Data Product Engineer

Location: Boston, MA

Duration: 6 months with a Contract to Hire

About BigRio:

BigRio is a Digital Transformation consulting firm headquartered in Boston, MA, specializing in data and analytics, custom development, software implementation, data analytics, and machine learning/AI integrations. As a one-stop shop, we deliver cutting-edge and cost-conscious software solutions to clients across various industries. With diverse industry exposure, our teams of data architects, engineers, developers, and consultants tackle complex software and data challenges, providing best-in-class solutions.

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

• Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.
• Analyze existing data entry workflows and propose automation opportunities.
• API Integration: Develop APIs and data pipelines to seamlessly connect LLMs with internal and external systems, ensuring secure and scalable data exchange.
• Solution Design & Development: Design, develop, and maintain AI-powered applications that integrate existing LLMs with internal systems to automate workflows and optimize processes.
• LLM Optimization: Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), context management, and performance tuning.
• Platform Evaluation: Assess and compare LLM platforms and tools (e.g., OpenAI, Anthropic, Google) to select the best fit for business needs and technical scalability.
• Testing & Monitoring: Implement robust testing and monitoring strategies to ensure performance, reliability, and security of LLM-powered applications.
• Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.
• Collaborate with clients to define project scopes and objectives.
• Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.
• Ensure seamless integration with existing systems and workflows.
• Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.
• Conduct rigorous testing to ensure accuracy and reliability.
• Work closely with clients and IT teams to integrate AI solutions effectively.
• Provide technical support during the implementation phase.
• Develop training materials for end-users and support staff.
• Best Practices & Documentation: Contribute to organizational AI best practices, including guidelines on LLM utilization and maintaining well-documented AI solutions.
• Troubleshooting & Issue Resolution: Identify and resolve LLM integration issues, performance bottlenecks, and data pipeline inconsistencies.
• Continuous Learning: Research and apply emerging LLM advancements, best practices, and industry trends to enhance AI-powered applications.
• Code Review & Quality Assurance: Participate in code reviews, ensuring high-quality, maintainable, and well-documented codebases.

Qualifications:

• Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).
• Proven experience in developing and implementing AI solutions for data entry automation.
• Experience working with LLMs and related AI frameworks (e.g., LangChain, Vector Databases, RAG).
• Experience with API development and integration (RESTful APIs, GraphQL, cloud-based services).
• Expertise in NLP, LLM and other machine-learning techniques.
• Strong programming skills, especially in Python.
• Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

Equal Opportunity Statement:

BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.