Website:
friska.ai
Job details:
Work type: Remote with occasional travel to our office in Tirupati, Andhra Pradesh
About Us
FriskaAi is a US-based, AI-powered patient engagement platform that helps healthcare providers continuously engage patients before, during, and between every visit automating Chronic Care Management (CCM), Remote Patient Monitoring (RPM), Principal Care Management (PCM), Annual Wellness Visits (AWV), and Transitional Care Management (TCM) revenue. The HIPAA-compliant, FHIR-ready platform integrates with major EMRs such as Veradigm and Athenahealth, and combines AI-driven intake, digital scribing, and between-visit patient engagement to close care gaps and improve outcomes without adding staff.
We are part of the HFWL ecosystem – a portfolio of cutting-edge AI platforms including NeuralClinic Ai (developmental care) and ClariTalk Ai (assistive communication). Our mission is to make healthcare proactive, accessible, and patient centred.
Role Overview
We are looking for a Healthcare AI Engineer with 2+ years of experience to build and integrate
production-ready AI solutions for healthcare applications. The role focuses on Agentic AI,Multimodal AI, Generative AI, healthcare AI, backend development, APIs, databases, and system integrations.
Key Responsibilities and Requirements
- Design, develop, and integrate Agentic AI and Multimodal AI solutions for healthcare applications.
- Build AI agents with LLMs, tool/function calling, reasoning, memory, workflow orchestration, and automation.
- Develop AI solutions for voice, speech-to-text, transcription, text generation, summarisation, and clinical note generation.
- Strong hands-on experience with Python, FastAPI, and REST API development.
- Work with OpenAPI/Swagger, API requests/responses, authentication, validation, error handling, and API testing.
- Integrate AI models, healthcare APIs, third-party services, and external systems into production applications.
- Strong experience with SQL and relational databases, including PostgreSQL/MySQL, with the ability to develop queries and manage application data.
- Experience with database integration, API-to-database workflows, and NoSQL databases such as MongoDB is an advantage.
- Experience working with healthcare applications, clinical workflows, patient/medical data, or healthcare APIs.
- Strong understanding of HIPAA compliance, including PHI/PII protection, secure data handling, access control, and healthcare data privacy.
- Hands-on experience with Git and GitHub, including branching, pull requests, code reviews, and collaborative development.
- Knowledge of Azure or any major cloud platform such as AWS or GCP for application deployment and integration.
- Develop scalable, secure, maintainable, and production-ready AI applications.
- Collaborate with product, engineering, and clinical teams to translate healthcare requirements into technical solutions.
- Test, debug, optimise, and continuously improve AI and backend applications.
Experience
- 2+ years of professional experience in AI Engineering, Generative AI, ML Engineering, or Healthcare Technology.
- Bachelor's or Master's degree in Computer Science, AI, Engineering, Information Technology, or a related field.
Good to Have
- Experience with EHR/EMR integrations.
- Knowledge of FHIR/HL7.
- Experience with Docker, CI/CD, Azure DevOps, or GitHub Actions.
- Experience with vector databases and advanced RAG architectures.
- Experience building clinical documentation, medical transcription, or healthcare AI solutions.
What we Offer
- Be part of a fast growing HealthTech startup.
- Exposure to cutting edge AI platforms.
- Competitive salary (to be discussed based on experience and qualifications).
How to Apply
Click Easy Apply on LinkedIn or send your resume to hr@hfwl.ai with the subject line: "Application – AI Engineer II – Healthcare”.
Click on Apply to know more.