Capital Rx is looking to expand its AI capabilities to increase productivity and improve customer experiences in its pharmacy benefits products and services.
Requirements
- Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
- Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph.
- Experience working with voice AI technologies and conversational AI.
- Familiarity with cloud platforms such as AWS or Azure.
- Experience working with microservices/an API-based application paradigm.
- Experience with Deepgram, PlayHT, ElevenLabs and Telephony technologies, such as Twilio is a plus
- Strong proficiency in machine learning (ML) solutions development and production deployment.
Responsibilities
- Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
- Develop and maintain backend services using Python, focusing on AI-driven applications.
- Design and implement APIs for seamless integration with AI models and services.
- Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
- Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
- Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models.
- Document and communicate development processes, system designs, and architectural decisions.
Other
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment.
- Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
- Passion for customer, innovation, product quality, service excellence, and test engineering
- The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
- Good written communication skills that enable collaboration in a remote environment.
- Adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
