Overalls
A new employee benefit that decreases stress and increases productivity.
insurtech • fintech • concierge • employee benefits • benefits
11 - 50
AI Engineer
August 27
🔄 Hybrid – Manhattan
Overalls
A new employee benefit that decreases stress and increases productivity.
insurtech • fintech • concierge • employee benefits • benefits
11 - 50
Description
• Collaborate closely with stakeholders to identify opportunities for new product development and service enhancements using AI technologies • Design, develop, and implement AI-powered solutions that seamlessly integrate with our existing LifeConcierge™ platform • Leverage your expertise in GPT-4, Gemini, Claude, or open-source LLM models to create innovative applications that drive efficiency and productivity for our clients • Conduct research and stay up-to-date with the latest advancements in AI, ensuring our products remain at the forefront of the industry • Develop and optimize AI models in different modalities like audio, video, image, text • Implement and maintain RAG (Retrieval-Augmented Generation) solutions to improve the contextual understanding and relevance of our AI-generated responses • Ground LLM responses with up to date information from search engines • Utilize your knowledge of embeddings and vector search to create powerful search and recommendation engines within our platform • Collaborate with cross-functional teams, including product managers, designers, and other engineers, to ensure the successful integration and deployment of AI solutions • Contribute to the development of best practices, documentation, and knowledge sharing within the overall engineering team
Requirements
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (Master's degree is a plus) • 3+ years of experience in software development, with a strong focus on AI and machine learning • Proficiency in at least one programming language such as Python, Java, or C++ (Experience in AI frameworks like TensorFlow or PyTorch or Keras is a plus). • Familiarity with one of the cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services is a big plus
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