Write, test, and maintain clean, efficient Python code for health-focused software solutions supporting Medicare and risk adjustment policy.
Develop and optimize database interactions with Snowflake, PostgreSQL, or MongoDB, ensuring data integrity and validation for healthcare applications.
Assist in designing RESTful APIs, perform testing and debugging, and collaborate with cross-functional teams while documenting workflows and best practices.
LMI is a digital solutions provider focused on accelerating government impact with mission-ready technology and AI for federal agencies, including defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company emphasizes agility, collaboration, and delivering impactful results.
Design and ship voice agents to conduct outbound calls to payers, handling IVR navigation and multi-turn dialogue.
Integrate telephony, speech, and LLM components into reliable end-to-end production pipelines.
Build evaluation and QA infrastructure to measure agent quality and continuously improve performance against real calls.
Ascertain builds AI agents to automate administrative work for healthcare care teams, saving them hundreds of staff hours weekly. It is a growing startup backed by major health systems and investment firms, with a mission-driven team focusing on operational clarity and financial resilience in healthcare.
Design and implement scalable microservices to support OTT platforms and applications.
Optimize relational and non-relational databases to ensure performance and scalability.
Ensure the security and maintain clear documentation for applications and integrations.
The company specializes in OTT and streaming solutions, operating across Latin America, the U.S., Israel, and Europe. They offer a cutting-edge platform for processing, managing, delivering, and monetizing professional video content at scale.