AI Engineer - NLP/LLM Data Product Engineer

3 - 7 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an AI Engineer specializing in GenAI LLM solutions at BigRio, your role involves collaborating with clients to automate processes using AI technology, specifically within the healthcare sector. You will be responsible for designing and implementing AI-powered applications to streamline data entry workflows. Your key responsibilities include: - Conducting detailed consultations with clients to understand requirements, focusing on automation opportunities. - Developing APIs and data pipelines to integrate LLMs with internal and external systems securely. - Designing and maintaining AI-powered applications to automate workflows and optimize processes. - Optimizing LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), and performance tuning. - Evaluating and comparing LLM platforms and tools to select the best fit for business needs. - Implementing testing and monitoring strategies to ensure performance, reliability, and security of AI applications. - Designing tailored AI-driven solutions for information extraction from handwritten medical records. - Collaborating with clients to define project scopes, objectives, and ensure seamless integration with existing systems. Qualifications required for this role include: - 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 with LLMs, NLP, API development, and cloud-based services. - Strong programming skills, especially in Python. - Familiarity with healthcare data privacy and regulatory requirements. Additional qualifications that are great to have include expertise in the most current LLM/NLP models, especially in data extraction from clinical, lab, and radiology reports, as well as a deep understanding of EMR/EHR applications and patient-related data. Note: Omitted additional details of the company as it was not provided in the job description.,

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