• Develop, test, and maintain software components that integrate AI/ML models into applications, APIs, and internal tools. • Write clean, well-documented code and participate in code reviews to uphold team quality standards. • Collaborate with cross-functional teams — including data scientists, product managers, and senior engineers — to translate project requirements into technical solutions. • Assist in building and improving data pipelines, model-serving infrastructure, and evaluation frameworks. • Troubleshoot and debug issues across the software stack, from backend services to model integration layers.

• Build and deploy AI-powered voice and messaging agents for wellness clients. • Own client-facing technical relationships. • Integrate with client data and CRM systems. • Write production backend services (TypeScript) and routing/ML logic (Python). • Build dashboards and internal tooling as needed. • Train and deploy lightweight predictive models. • Design and maintain databases supporting real-time operations.

• Build and deploy AI-powered voice and messaging agents for healthcare and life sciences clients, end-to-end. • Own client-facing technical relationships: translate business workflows into agent configurations, integration specs, and production systems. • Integrate with client data systems including CRMs, EHR/EMR platforms, specialty pharmacy systems, claims and Rx data feeds and build the ingestion pipelines to support them. • Write production backend services (TypeScript) and routing/ML logic (Python). • Design and maintain databases (relational and caching layers) that support both real-time agent operations and compliance audit trails.

Role Description - Lead engineering initiatives focused on edge AI solutions, leveraging your expertise in programming languages such as Go, Rust, Python, and C/C++. - Collaborate with cross-functional teams to design and implement scalable data management systems. - Drive the development of machine learning models that enhance data processing and security capabilities. - Optimize existing codebases for performance and reliability while ensuring best practices in software development. - Mentor junior engineers, fostering a culture of innovation and continuous improvement within the team. - Participate in architectural discussions and contribute to the strategic direction of the technology stack. - Analyze system performance metrics and implement enhancements to improve efficiency and user experience. Qualifications - 2-3 years of experience in software engineering, with a strong focus on AI and data management. - Proficiency in programming languages including Python, Go, Rust, and C/C++. - Demonstrated experience in developing and deploying machine learning models. - Strong problem-solving skills and a passion for working on cutting-edge technology. - Experience working in a remote environment and collaborating with distributed teams. Requirements - Familiarity with edge computing principles and architectures. - Experience in a leadership or mentoring role within an engineering team. - Knowledge of data security best practices and compliance standards. Benefits - Competitive salary ranging from $200K to $300K. - Equity options that reflect the company’s growth and success. - Join a forward-thinking team that values innovation and collaboration in a fully remote setting. Company Description We're representing a dynamic company that is at the forefront of developer data management for an edge-first world. With a focus on innovative AI and data solutions, our client is shaping the future of how data is managed and secured in a rapidly evolving technological landscape. This company is well-positioned in the AI and Devtools industry, driving significant advancements in data security and management.