Note: The job is a remote job and is open to candidates in USA. GroMo is seeking a forward-thinking Senior AI Engineer with strong domain knowledge to implement AI-first solutions for consumer-facing products. The candidate will work directly with the Founder to develop innovative products in the Insurance space, focusing on advanced AI and machine learning applications.
Responsibilities
- Architect, develop, train, and deploy advanced AI/Machine Learning models for various applications
- Design, build, and optimize a sophisticated conversational AI agent specifically for selling health insurance products
- Developing dialogue management systems that guide users through the sales funnel
- Implementing intent recognition and entity extraction models tailored to health insurance queries and sales interactions
- Crafting compelling and compliant sales responses that address customer needs, handle objections, and provide accurate product information
- Ensuring the AI can effectively qualify leads, explain complex policy details, and guide users towards conversion
- Design and optimize prompts for large language models (LLMs) to achieve desired outcomes for specific business use cases
- Developing robust strategies for managing complex conversation flows, ensuring seamless transitions, and maintaining context throughout the interaction
- Define and implement rigorous evaluation criteria across the entire AI pipeline, from dataset creation to model validation
- Establishing metrics for data quality, model performance, bias detection, and ensuring robust validation strategies to build trustworthy and reliable AI systems
- For conversational AI, this will also include metrics for dialogue success, user satisfaction, conversion rates, and adherence to sales scripts/compliance
- Apply strong data science principles to analyze complex data, extract insights, and formulate data-driven solutions
- Demonstrate proficiency in data engineering practices, including building scalable data pipelines, managing data infrastructure, and ensuring efficient data access for AI development
- Stay abreast of the latest advancements in AI, machine learning, and fintech/insurance domains, actively exploring and integrating new technologies and methodologies to enhance our AI capabilities, particularly in the realm of conversational sales
Skills
- 3+ years of experience in AI and Machine Learning
- Strong domain knowledge of implementing AI first solutions for consumer facing products
- Experience in architecting, developing, training, and deploying advanced AI/Machine Learning models
- Ability to select appropriate model architectures (e.g., deep learning, traditional ML)
- Experience in optimizing model performance and ensuring scalability and reliability in production environments
- Experience in designing, building, and optimizing conversational AI agents
- Experience in developing dialogue management systems for sales funnels
- Experience in implementing intent recognition and entity extraction models
- Ability to craft compelling and compliant sales responses
- Experience in qualifying leads and explaining complex policy details
- Experience in designing and optimizing prompts for large language models (LLMs)
- Ability to define and implement rigorous evaluation criteria across the AI pipeline
- Experience in establishing metrics for data quality, model performance, and bias detection
- Proficiency in data science principles and data engineering practices
- Experience in building scalable data pipelines and managing data infrastructure
- Ability to stay abreast of the latest advancements in AI, machine learning, and fintech/insurance domains
Company Overview