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RoleOverview
Full-Stack Software Engineer
As a Full?Stack Software Engineer at HelloPatient, youll design, build, and scale the end?to?end systems that power Mia, our AI assistant for healthcare practices. From real?time voice and messaging services to EHR integrations and admin dashboards, youll ship production?ready code across the stack, own features from concept to deployment, and help set engineering best practices in a hyper?growth, compliance?critical environment.
Location: Austin,TX or NYC
Reports to: CTO
Type: Full?time, exempt
KeyResponsibilities
Feature Development. Deliver user?facing functionality in NextJS/TypeScript while crafting robust, testable APIs in Python/FastAPI. Translate product specs into end?to?end experiences that delight clinic staff, patients, and our implementation team. System Architecture & Scalability. Design and optimize backend systems that support high-volume, low-latency voice, SMS, and chat traffic. Optimize for reliability, horizontal scaling, and efficient token usage with LLM back?ends. Data & Integrations. Build secure integrations with EHR/PM systems via FHIR, HL7, and custom APIs. Implement data pipelines and storage solutions (PostgreSQL, Redis, S3, and more) that respect HIPAA and SOC?2 controls. DevOps & CI/CD. Own your code in production: write infrastructure?as?code in Terraform and Helm, automate tests, and monitor metrics. Champion a culture of frequent, reliable production deployments through robust CI/CD pipelines. Quality & Security. Write unit, integration, and end?to?end tests; conduct code reviews to uphold performance, readability, and security standards. Collaborate with compliance teams to embed encryption, logging, and auditability from day one. Collaboration & Mentorship. Work closely with internal teams to iterate quickly and prioritize user impact. Share knowledge via design docs; mentor junior engineers as the team scales.
Qualifications
Must?Haves
3-6yrs professional experience building and shipping full?stack web applications. Proficiency with modern TypeScript on client (React, Next.js) and Python on server AI-native: You use AI tools daily to architect, build, and debug fullstack features, moving quickly from idea to production with minimal hand-holding. You automate grunt work, document as you go, and ship clean, scalable code fast. Strong grasp of relational databases and REST API design; comfortable optimizing queries and indexing strategies. Hands?on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Solid understanding of testing strategies, CI/CD workflows, and Git?based collaboration. Clear communication skills and a bias for action.
Nice?to?Haves
Exposure to healthcare data standards (FHIR, HL7) or other high?compliance domains. Experience integrating/fine?tuning LLMs, building RAG pipelines, designing agent architecture, voice agents Familiarity with event-driven architecture or real-time streaming. Prior work at an early?stage startup where you wore multiple hats and influenced product direction.
Note that compensation will vary greatly based on level and years of experience #J-18808-Ljbffr
Full-Stack Software Engineer
As a Full?Stack Software Engineer at HelloPatient, youll design, build, and scale the end?to?end systems that power Mia, our AI assistant for healthcare practices. From real?time voice and messaging services to EHR integrations and admin dashboards, youll ship production?ready code across the stack, own features from concept to deployment, and help set engineering best practices in a hyper?growth, compliance?critical environment.
Location: Austin,TX or NYC
Reports to: CTO
Type: Full?time, exempt
KeyResponsibilities
Feature Development. Deliver user?facing functionality in NextJS/TypeScript while crafting robust, testable APIs in Python/FastAPI. Translate product specs into end?to?end experiences that delight clinic staff, patients, and our implementation team. System Architecture & Scalability. Design and optimize backend systems that support high-volume, low-latency voice, SMS, and chat traffic. Optimize for reliability, horizontal scaling, and efficient token usage with LLM back?ends. Data & Integrations. Build secure integrations with EHR/PM systems via FHIR, HL7, and custom APIs. Implement data pipelines and storage solutions (PostgreSQL, Redis, S3, and more) that respect HIPAA and SOC?2 controls. DevOps & CI/CD. Own your code in production: write infrastructure?as?code in Terraform and Helm, automate tests, and monitor metrics. Champion a culture of frequent, reliable production deployments through robust CI/CD pipelines. Quality & Security. Write unit, integration, and end?to?end tests; conduct code reviews to uphold performance, readability, and security standards. Collaborate with compliance teams to embed encryption, logging, and auditability from day one. Collaboration & Mentorship. Work closely with internal teams to iterate quickly and prioritize user impact. Share knowledge via design docs; mentor junior engineers as the team scales.
Qualifications
Must?Haves
3-6yrs professional experience building and shipping full?stack web applications. Proficiency with modern TypeScript on client (React, Next.js) and Python on server AI-native: You use AI tools daily to architect, build, and debug fullstack features, moving quickly from idea to production with minimal hand-holding. You automate grunt work, document as you go, and ship clean, scalable code fast. Strong grasp of relational databases and REST API design; comfortable optimizing queries and indexing strategies. Hands?on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Solid understanding of testing strategies, CI/CD workflows, and Git?based collaboration. Clear communication skills and a bias for action.
Nice?to?Haves
Exposure to healthcare data standards (FHIR, HL7) or other high?compliance domains. Experience integrating/fine?tuning LLMs, building RAG pipelines, designing agent architecture, voice agents Familiarity with event-driven architecture or real-time streaming. Prior work at an early?stage startup where you wore multiple hats and influenced product direction.
Note that compensation will vary greatly based on level and years of experience #J-18808-Ljbffr