
11 - 50 employees
Founded 2021
🏥 Healthcare
💼 Consulting
🍽️ Food & Beverage
Healthcare • Consulting • Food & Beverage
mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $110k - $165k / year
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
👻 Ghost score 13%
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11 - 50 employees
Founded 2021
🏥 Healthcare
💼 Consulting
🍽️ Food & Beverage
Healthcare • Consulting • Food & Beverage
mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.
• Design, build, test, and maintain robust backend systems using .NET (C#) and other appropriate languages • Design, deploy, and manage scalable AWS applications using ECS Fargate, DynamoDB, S3, and other cloud-native technologies • Build reliable APIs and services supporting mpathic’s platform, products, and AI workflows • Manage SQL databases, including PostgreSQL, and NoSQL databases, including DynamoDB • Make architectural decisions concerning reliability, scalability, performance, security, and maintainability • Support integration of AI models and AI-powered capabilities into production systems and workflows • Collaborate with frontend engineers and occasionally contribute to React-based applications • Write clean, maintainable, well-tested, and well-documented code • Contribute to engineering standards and best practices • Provide technical guidance, participate in code reviews, architecture discussions, and knowledge sharing • Solve complex challenges involving performance optimization, system design, troubleshooting, integrations, and evolving product requirements • Stay current on emerging tools and techniques for cloud infrastructure, services, APIs, and AI applications • Conduct focused proofs of concept with clear technical and business outcomes • Collaborate with engineering, product, AI, and other teams to translate business and customer needs into scalable technical solutions
• 5+ years of software engineering experience, with a strong focus on backend development using .NET (C#) • Hands-on experience with AWS services, architecture, and best practices for building and operating cloud-native applications • Strong experience with SQL and NoSQL databases, including schema design, data modeling, query optimization, and performance • Experience designing scalable, reliable backend services, APIs, and distributed systems • Working knowledge of React and its ecosystem • Ability to take ambiguous technical problems from initial requirements through design, implementation, testing, and deployment • Strong communication and ability to collaborate across engineering, product, and other technical teams • Curiosity about emerging technologies and motivation to evaluate new tools and approaches pragmatically
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