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Lead AI Engineer for Advanced Insurance Claim Processing
2 weeks ago
At Numlabs, we're pushing the boundaries of artificial intelligence to revolutionize the insurance industry. We're seeking a highly skilled Lead AI Engineer to join our team and contribute to the development of cutting-edge AI solutions for processing insurance claims.
We're looking for an expert in natural language processing (NLP) and machine learning (ML) to lead our AI engineering efforts. As a Lead AI Engineer, you will be responsible for designing, implementing, and deploying AI models that can process complex insurance claims with high accuracy and efficiency.
The ideal candidate will have extensive experience in NLP and ML, including proficiency in Python programming and experience with LLM agents as AWS Lambda functions. You should also have hands-on experience with LangChain, Retrieval-Augmented Generation (RAG), and AWS Bedrock or equivalent frameworks.
In addition to technical expertise, you should possess excellent communication and leadership skills, with the ability to work effectively in a remote team environment. Your strong focus on secure environments with zero data leakage is essential to ensuring full data protection and compliance.
Key Responsibilities- Design and implement AI models for insurance claim processing using NLP and ML techniques
- Leverage LLM agents as AWS Lambda functions to improve model performance and efficiency
- Collaborate with cross-functional teams to develop and deploy AI solutions
- Ensure secure environments with zero data leakage and maintain full data protection and compliance
- Proficiency in Python programming with experience in NLP and ML
- Hands-on experience with LangChain, RAG, and AWS Bedrock or equivalent frameworks
- Expertise in voice and chat AI solutions, including prompt engineering
- Familiarity with multimodal systems (image + text) and fraud detection mechanisms
- Strong focus on secure environments with zero data leakage, ensuring full data protection and compliance
- Remote work environment with flexible hours
- Opportunity to work on cutting-edge AI projects
- Collaborative and dynamic team culture
- Professional development and growth opportunities
