About HealthSigns: At HealthSigns, we're on a mission to revolutionize healthcare through the power of Artificial Intelligence. We're building cutting-edge platforms that empower patients, providers, hospitals, clinics, and labs with proactive insights, seamless communication, and personalized care. Join our dynamic and innovative team to contribute to solutions that truly make a difference in people's lives. We foster a collaborative environment where your ideas and expertise will be valued and you'll have the opportunity to work on impactful projects. The Role: We're looking for an Engineering Lead with 8+ years of experience to own and scale our healthcare platform across India, the Middle East, Latin America, and the US. You'll architect scalable systems, lead a distributed engineering team, and stay hands-on with critical technical decisions and code. This is not a framework-focused role—you must be strong in Python fundamentals, able to design APIs, build healthcare interoperability systems, architect AI pipelines, and solve complex problems beyond Django/FastAPI/Flask. You'll also need hands-on Angular expertise to guide frontend architecture and unblock your team. If you excel at leading teams while building mission-critical healthcare systems, this role offers both impact and growth. What You'll Do Technical Leadership Own end-to-end platform architecture for EMR/HMS systems serving multiple geographies with 99.9%+ uptime requirements Design and code Python-based APIs, data processing pipelines, healthcare integrations (HL7/FHIR), and AI model inference systems Review and guide Angular frontend architecture, component design, API integration patterns, and performance optimization Architect clinical data models, longitudinal patient records, and migration strategies for legacy EMR systems Lead productionization of clinical intelligence and AI models, managing inference pipelines and governance frameworks Oversee multi-region infrastructure, DevOps pipelines, and compliance across HIPAA, GDPR, and ABDM regulations. Team & Delivery Manage and mentor backend, frontend, QA, and DevOps engineers across distributed teams Translate product requirements into scalable, compliant technical solutions Establish engineering culture focused on ownership, quality, reliability, and clinical safety Lead technical due diligence and architecture planning for new market entries Manage timezone coordination and deployment strategies across 4+ regulatory environments. Hands-On Contribution Write and review production code for critical backend and frontend systems Debug complex production issues in healthcare environments Make architectural decisions across the full stack and unblock teams when needed What We're Looking For Required Experience 8+ years of software development with deep Python expertise (API design, system architecture from scratch, not just framework usage) Hands-on Angular and TypeScript experience for frontend architecture, code review, and team guidance (you won't write Angular daily, but must be able to make technical decisions and unblock the frontend team) 3+ years building healthcare IT systems with production experience in HL7/FHIR, EMR/HMS platforms, or clinical data systems 3+ years in technical leadership managing distributed engineering teams Production experience deploying AI/ML systems in regulated environments Strong background in cloud-native architecture (AWS/GCP/Azure), microservices, and databases (Postgres, MongoDB, Redis) Proven experience with Docker, Kubernetes, and CI/CD for multi-environment deployments Track record managing system uptime >99.9% for business-critical applications Technical Skills Expert-level Python for healthcare integrations, data processing, and automation Production Angular experience with enterprise applications (state management, component architecture, performance optimization) Deep understanding of healthcare interoperability standards and compliance frameworks Experience architecting for LATAM, Middle East, or emerging market infrastructure constraints Leadership Qualities Strong communication across technical and non-technical stakeholders Experience managing teams across multiple time zones Problem-solving mindset with clinical safety awareness Ability to balance technical debt, feature delivery, and platform reliability
As an Engineering Lead with 8+ years of experience, you will be responsible for owning and scaling a healthcare platform across multiple regions including India, the Middle East, Latin America, and the US. Your role will involve architecting scalable systems, leading a distributed engineering team, and making critical technical decisions while staying hands-on with code. **Key Responsibilities:** - Own the end-to-end platform architecture for EMR/HMS systems serving multiple geographies with 99.9%+ uptime requirements - Design and code Python-based APIs, data processing pipelines, healthcare integrations (HL7/FHIR), and AI model inference systems - Review and guide Angular frontend architecture, component design, API integration patterns, and performance optimization - Lead the productionization of clinical intelligence and AI models, managing inference pipelines and governance frameworks - Oversee multi-region infrastructure, DevOps pipelines, and compliance across HIPAA, GDPR, and ABDM regulations - Manage and mentor backend, frontend, QA, and DevOps engineers across distributed teams - Translate product requirements into scalable, compliant technical solutions - Establish an engineering culture focused on ownership, quality, reliability, and clinical safety - Lead technical due diligence and architecture planning for new market entries - Write and review production code for critical backend and frontend systems - Debug complex production issues in healthcare environments - Make architectural decisions across the full stack and unblock teams when needed **Qualifications Required:** - 8+ years of software development with deep Python expertise (API design, system architecture from scratch, not just framework usage) - Hands-on Angular and TypeScript experience for frontend architecture, code review, and team guidance - 3+ years building healthcare IT systems with production experience in HL7/FHIR, EMR/HMS platforms, or clinical data systems - 3+ years in technical leadership managing distributed engineering teams - Production experience deploying AI/ML systems in regulated environments - Strong background in cloud-native architecture (AWS/GCP/Azure), microservices, and databases (Postgres, MongoDB, Redis) - Proven experience with Docker, Kubernetes, and CI/CD for multi-environment deployments - Expert-level Python for healthcare integrations, data processing, and automation - Production Angular experience with enterprise applications - Deep understanding of healthcare interoperability standards and compliance frameworks - Experience architecting for LATAM, Middle East, or emerging market infrastructure constraints The company is looking for a candidate who can balance technical debt, feature delivery, and platform reliability while demonstrating strong communication skills, experience managing teams across multiple time zones, problem-solving mindset with clinical safety awareness, and the ability to lead teams effectively.,
About the Role We’re looking for a highly skilled Engineering Lead with 8+ years of experience to own and scale our healthcare platform across India, the Middle East, Latin America, and the US . You will architect scalable systems, lead a distributed engineering team, and remain hands-on with key technical decisions and code. This is not a framework-focused role — it requires deep Python fundamentals , strong API and data architecture skills , and an understanding of healthcare interoperability (HL7, FHIR) . You’ll also guide Angular-based frontend architecture, ensuring performance, security, and compliance across multiple regions. If you thrive in complex, regulated environments and love building mission-critical systems, this role offers both impact and growth. Key Responsibilities Technical Leadership Own end-to-end platform architecture for EMR/HMS systems serving multiple geographies with 99.9%+ uptime. Design and develop Python-based APIs , data processing pipelines , and healthcare integrations (HL7/FHIR). Architect and optimize AI/ML inference pipelines for clinical intelligence systems. Review and guide Angular frontend architecture, component design, and performance optimization. Design and manage clinical data models , longitudinal patient records, and legacy EMR migration strategies. Oversee multi-region infrastructure , DevOps pipelines , and ensure compliance with HIPAA , GDPR , and ABDM regulations. Team & Delivery Manage and mentor backend, frontend, QA, and DevOps engineers across distributed teams. Translate product requirements into scalable, compliant technical solutions. Establish an engineering culture centered on ownership, reliability, quality, and clinical safety . Lead technical due diligence and architecture planning for new market entries. Coordinate deployments across multiple time zones and regulatory environments. Hands-On Contribution Write and review production code for critical backend and frontend components. Debug complex production issues in healthcare environments. Make architecture-level decisions and unblock teams when required. What We’re Looking For Required Experience 8+ years in software development with deep Python expertise (API design, systems architecture, not just frameworks). Hands-on Angular + TypeScript experience for frontend architecture and team guidance. 3+ years building healthcare IT systems (HL7/FHIR, EMR/HMS, or clinical data platforms). 3+ years of technical leadership managing distributed engineering teams. Proven experience deploying AI/ML systems in regulated healthcare environments. Strong background in cloud-native architecture (AWS/GCP/Azure), microservices, and databases (Postgres, MongoDB, Redis). Proficiency with Docker, Kubernetes, and CI/CD pipelines for multi-environment deployments. Demonstrated ability to maintain 99.9%+ uptime for business-critical systems. Technical Skills Expert-level Python for healthcare integrations, data processing, and automation. Production-level Angular experience (state management, component architecture, performance tuning). Deep understanding of healthcare interoperability standards , compliance frameworks, and data security. Experience architecting for LATAM , Middle East , or other emerging-market infrastructure constraints. Leadership Qualities Strong communicator — able to bridge technical and non-technical stakeholders. Proven ability to manage teams across multiple time zones. Problem-solving mindset grounded in clinical safety and reliability . Balances technical debt , feature delivery , and platform stability with sound judgment. Job Details Employment Type: Full-time Industry: Technology / Healthcare / Internet Location: Global (Remote / Hybrid) Experience Level: Senior / Lead Engineer
About the Role We're looking for a highly skilled Engineering Lead with 8+ years of experience to own and scale our healthcare platform across India, the Middle East, Latin America, and the US . You will architect scalable systems, lead a distributed engineering team, and remain hands-on with key technical decisions and code. This is not a framework-focused role it requires deep Python fundamentals , strong API and data architecture skills , and an understanding of healthcare interoperability (HL7, FHIR) . You'll also guide Angular-based frontend architecture, ensuring performance, security, and compliance across multiple regions. If you thrive in complex, regulated environments and love building mission-critical systems, this role offers both impact and growth. Key Responsibilities Technical Leadership Own end-to-end platform architecture for EMR/HMS systems serving multiple geographies with 99.9%+ uptime. Design and develop Python-based APIs , data processing pipelines , and healthcare integrations (HL7/FHIR). Architect and optimize AI/ML inference pipelines for clinical intelligence systems. Review and guide Angular frontend architecture, component design, and performance optimization. Design and manage clinical data models , longitudinal patient records, and legacy EMR migration strategies. Oversee multi-region infrastructure , DevOps pipelines , and ensure compliance with HIPAA , GDPR , and ABDM regulations. Team & Delivery Manage and mentor backend, frontend, QA, and DevOps engineers across distributed teams. Translate product requirements into scalable, compliant technical solutions. Establish an engineering culture centered on ownership, reliability, quality, and clinical safety . Lead technical due diligence and architecture planning for new market entries. Coordinate deployments across multiple time zones and regulatory environments. Hands-On Contribution Write and review production code for critical backend and frontend components. Debug complex production issues in healthcare environments. Make architecture-level decisions and unblock teams when required. What We're Looking For Required Experience 8+ years in software development with deep Python expertise (API design, systems architecture, not just frameworks). Hands-on Angular + TypeScript experience for frontend architecture and team guidance. 3+ years building healthcare IT systems (HL7/FHIR, EMR/HMS, or clinical data platforms). 3+ years of technical leadership managing distributed engineering teams. Proven experience deploying AI/ML systems in regulated healthcare environments. Strong background in cloud-native architecture (AWS/GCP/Azure), microservices, and databases (Postgres, MongoDB, Redis). Proficiency with Docker, Kubernetes, and CI/CD pipelines for multi-environment deployments. Demonstrated ability to maintain 99.9%+ uptime for business-critical systems. Technical Skills Expert-level Python for healthcare integrations, data processing, and automation. Production-level Angular experience (state management, component architecture, performance tuning). Deep understanding of healthcare interoperability standards , compliance frameworks, and data security. Experience architecting for LATAM , Middle East , or other emerging-market infrastructure constraints. Leadership Qualities Strong communicator able to bridge technical and non-technical stakeholders. Proven ability to manage teams across multiple time zones. Problem-solving mindset grounded in clinical safety and reliability . Balances technical debt , feature delivery , and platform stability with sound judgment. Job Details Employment Type: Full-time Industry: Technology / Healthcare / Internet Location: Global (Remote / Hybrid) Experience Level: Senior / Lead Engineer
About the Role We're looking for a highly skilled Engineering Lead with 8+ years of experience to own and scale our healthcare platform across India, the Middle East, Latin America, and the US . You will architect scalable systems, lead a distributed engineering team, and remain hands-on with key technical decisions and code. This is not a framework-focused role it requires deep Python fundamentals , strong API and data architecture skills , and an understanding of healthcare interoperability (HL7, FHIR) . You'll also guide Angular-based frontend architecture, ensuring performance, security, and compliance across multiple regions. If you thrive in complex, regulated environments and love building mission-critical systems, this role offers both impact and growth. Key Responsibilities Technical Leadership Own end-to-end platform architecture for EMR/HMS systems serving multiple geographies with 99.9%+ uptime. Design and develop Python-based APIs , data processing pipelines , and healthcare integrations (HL7/FHIR). Architect and optimize AI/ML inference pipelines for clinical intelligence systems. Review and guide Angular frontend architecture, component design, and performance optimization. Design and manage clinical data models , longitudinal patient records, and legacy EMR migration strategies. Oversee multi-region infrastructure , DevOps pipelines , and ensure compliance with HIPAA , GDPR , and ABDM regulations. Team & Delivery Manage and mentor backend, frontend, QA, and DevOps engineers across distributed teams. Translate product requirements into scalable, compliant technical solutions. Establish an engineering culture centered on ownership, reliability, quality, and clinical safety . Lead technical due diligence and architecture planning for new market entries. Coordinate deployments across multiple time zones and regulatory environments. Hands-On Contribution Write and review production code for critical backend and frontend components. Debug complex production issues in healthcare environments. Make architecture-level decisions and unblock teams when required. What We're Looking For Required Experience 8+ years in software development with deep Python expertise (API design, systems architecture, not just frameworks). Hands-on Angular + TypeScript experience for frontend architecture and team guidance. 3+ years building healthcare IT systems (HL7/FHIR, EMR/HMS, or clinical data platforms). 3+ years of technical leadership managing distributed engineering teams. Proven experience deploying AI/ML systems in regulated healthcare environments. Strong background in cloud-native architecture (AWS/GCP/Azure), microservices, and databases (Postgres, MongoDB, Redis). Proficiency with Docker, Kubernetes, and CI/CD pipelines for multi-environment deployments. Demonstrated ability to maintain 99.9%+ uptime for business-critical systems. Technical Skills Expert-level Python for healthcare integrations, data processing, and automation. Production-level Angular experience (state management, component architecture, performance tuning). Deep understanding of healthcare interoperability standards , compliance frameworks, and data security. Experience architecting for LATAM , Middle East , or other emerging-market infrastructure constraints. Leadership Qualities Strong communicator able to bridge technical and non-technical stakeholders. Proven ability to manage teams across multiple time zones. Problem-solving mindset grounded in clinical safety and reliability . Balances technical debt , feature delivery , and platform stability with sound judgment. Job Details Employment Type: Full-time Industry: Technology / Healthcare / Internet Location: Global (Remote / Hybrid) Experience Level: Senior / Lead Engineer
HealthSigns is building the Intelligent Operating System for Healthcare - an AI-powered platform that unifies EMR, Labs, Transcription, and Care Coordination into one intelligent ecosystem. At the heart of it lies our Intelligence Kernel , the reasoning layer that drives decision-making, workflow automation, and large-scale clinical intelligence across multiple care domains. Role Overview We’re looking for a Full Stack Developer (Python + Angular) with 4–5 years of hands-on experience who loves working close to the metal - writing clean, efficient code in core Python while also building intuitive, responsive frontend interfaces using Angular or equivalent modern frameworks. You’ll be part of the Intelligence Kernel team, responsible for developing APIs, backend logic, and scalable data layers that interact with AI and LLM-driven components , while ensuring seamless user experiences on the frontend. This role is ideal for someone who is technically curious, hands-on with data modeling and UI development, and eager to explore how AI and LLMs can transform healthcare systems at scale. Key Responsibilities Design, develop, and maintain REST APIs using core Python , ensuring performance, clarity, and scalability. Build and optimize frontend components and dashboards using Angular (or React) for doctor and operations-facing workflows. Design and manage MongoDB schemas and document-based data models. Collaborate with AI engineers to integrate LLM modules , reasoning engines, and contextual intelligence pipelines. Connect backend services across Labs, Transcription, EMR, and Analytics layers to form unified workflows. Ensure cross-platform consistency, responsive design, and smooth API-frontend communication. Write clean, modular, and well-documented code with proper testing and CI/CD integration . Continuously explore new AI frameworks , frontend design patterns, and architectural improvements to evolve the Intelligence Kernel . Technical Skills Must-Have: Strong proficiency in Core Python (no heavy framework dependency) Proven experience in frontend development using Angular (preferred) or React Expertise in REST API design and integration Hands-on experience with MongoDB / NoSQL databases Solid understanding of OOP principles , data structures , and asynchronous programming Familiarity with Git , Docker , and CI/CD pipelines Strong grasp of UI/UX fundamentals , responsive layouts, and component architecture. Good-to-Have: Exposure to LLMs , AI pipelines , or integrations with APIs (OpenAI, Hugging Face, etc.) Knowledge of PostgreSQL , Redis , or message queues (Celery/Kafka) Familiarity with healthcare data structures (FHIR/HL7) and data privacy frameworks (HIPAA, DPDP, etc.) Soft Skills Curious and self-driven — enjoys exploring new technologies across the stack Strong sense of ownership from concept to delivery Excellent collaboration skills across cross-functional teams (Backend, AI, Product, UI/UX) Committed to writing clean, maintainable, and reusable code Comfortable taking on complex, end-to-end technical challenges What you will Gain? Work on the core intelligence layer that powers HealthSigns’ AI-driven healthcare ecosystem . Gain hands-on experience in AI engineering , including LLM integration , contextual reasoning , and intelligent workflow automation . Build full-stack solutions that merge backend intelligence with elegant, clinician-facing frontend experiences. Collaborate with an expert team building the next generation of healthcare AI infrastructure , where every feature directly improves care delivery and operational efficiency. Be part of an environment that values innovation, learning, and real-world impact over routine execution.
HealthSigns is building the Intelligent Operating System for Healthcare - an AI-powered platform that unifies EMR, Labs, Transcription, and Care Coordination into one intelligent ecosystem. At the heart of it lies our Intelligence Kernel , the reasoning layer that drives decision-making, workflow automation, and large-scale clinical intelligence across multiple care domains. Role Overview We're looking for a Full Stack Developer (Python + Angular) with 45 years of hands-on experience who loves working close to the metal - writing clean, efficient code in core Python while also building intuitive, responsive frontend interfaces using Angular or equivalent modern frameworks. You'll be part of the Intelligence Kernel team, responsible for developing APIs, backend logic, and scalable data layers that interact with AI and LLM-driven components , while ensuring seamless user experiences on the frontend. This role is ideal for someone who is technically curious, hands-on with data modeling and UI development, and eager to explore how AI and LLMs can transform healthcare systems at scale. Key Responsibilities Design, develop, and maintain REST APIs using core Python , ensuring performance, clarity, and scalability. Build and optimize frontend components and dashboards using Angular (or React) for doctor and operations-facing workflows. Design and manage MongoDB schemas and document-based data models. Collaborate with AI engineers to integrate LLM modules , reasoning engines, and contextual intelligence pipelines. Connect backend services across Labs, Transcription, EMR, and Analytics layers to form unified workflows. Ensure cross-platform consistency, responsive design, and smooth API-frontend communication. Write clean, modular, and well-documented code with proper testing and CI/CD integration . Continuously explore new AI frameworks , frontend design patterns, and architectural improvements to evolve the Intelligence Kernel . Technical Skills Must-Have: Strong proficiency in Core Python (no heavy framework dependency) Proven experience in frontend development using Angular (preferred) or React Expertise in REST API design and integration Hands-on experience with MongoDB / NoSQL databases Solid understanding of OOP principles , data structures , and asynchronous programming Familiarity with Git , Docker , and CI/CD pipelines Strong grasp of UI/UX fundamentals , responsive layouts, and component architecture. Good-to-Have: Exposure to LLMs , AI pipelines , or integrations with APIs (OpenAI, Hugging Face, etc.) Knowledge of PostgreSQL , Redis , or message queues (Celery/Kafka) Familiarity with healthcare data structures (FHIR/HL7) and data privacy frameworks (HIPAA, DPDP, etc.) Soft Skills Curious and self-driven enjoys exploring new technologies across the stack Strong sense of ownership from concept to delivery Excellent collaboration skills across cross-functional teams (Backend, AI, Product, UI/UX) Committed to writing clean, maintainable, and reusable code Comfortable taking on complex, end-to-end technical challenges What you will Gain Work on the core intelligence layer that powers HealthSigns AI-driven healthcare ecosystem . Gain hands-on experience in AI engineering , including LLM integration , contextual reasoning , and intelligent workflow automation . Build full-stack solutions that merge backend intelligence with elegant, clinician-facing frontend experiences. Collaborate with an expert team building the next generation of healthcare AI infrastructure , where every feature directly improves care delivery and operational efficiency. Be part of an environment that values innovation, learning, and real-world impact over routine execution.
About HealthSigns HealthSigns is building the Intelligent Operating System for Healthcare - An AI-powered platform that unifies EMR, Labs, Transcription, and Care Coordination into one intelligent ecosystem. At its core lies the Intelligence Kernel , the reasoning and orchestration layer that powers automation, contextual understanding, and clinical intelligence across the HealthSigns stack. Role Overview We’re looking for a Senior Python Developer with 5–6 years of experience who can architect and build high-performance backend systems that interact with AI and LLM-driven components . You’ll be part of the Intelligence Kernel team , working on core services that handle data ingestion, schema validation, and interaction with HealthSigns’ AI modules — including transcription, Smart Scan, and lab interpretation engines. This role is ideal for a developer who wants to work on real-world AI integration , not just API wrappers — someone who understands how to build scalable backend pipelines that let AI reason, act, and automate clinical workflows. Key Responsibilities Develop and maintain backend APIs and data services in Python that power AI-enabled features. Design robust data models, schema validators, and retrieval logic to support structured LLM output. Integrate AI/LLM endpoints (e.g., transcription, reasoning, summarization) into production pipelines. Build and optimize retrieval-anchored workflows and caching layers for AI interactions. Ensure security, reliability, and version control in all AI–backend integrations. Collaborate closely with AI engineers and data scientists to productize AI features. Mentor junior developers and participate in architecture reviews and sprint planning. Technical Skills Strong expertise in Core Python and OOP principles . Experience with FastAPI / Flask , Pydantic , and RESTful API design . Hands-on experience with MongoDB (schema design, indexing, aggregation). Familiarity with LLM/AI integrations (OpenAI, Hugging Face, LangChain, or custom inference APIs). Understanding of message queues (Celery/RabbitMQ), caching, and API orchestration . Exposure to Docker , CI/CD , and cloud environments (Azure/AWS) . Experience with retrieval pipelines , schema enforcement , or prompt orchestration is a plus. Benefits Be part of the team building the AI Intelligence Kernel powering HealthSigns. Work on live AI use cases — transcription, Smart Scan, care automation, and clinical reasoning. Flat hierarchy and rapid growth environment. Flexible remote or hybrid (Kochi) work setup.
About HealthSigns HealthSigns is building the Intelligent Operating System for Healthcare - An AI-powered platform that unifies EMR, Labs, Transcription, and Care Coordination into one intelligent ecosystem. At its core lies the Intelligence Kernel , the reasoning and orchestration layer that powers automation, contextual understanding, and clinical intelligence across the HealthSigns stack. Role Overview We're looking for a Senior Python Developer with 56 years of experience who can architect and build high-performance backend systems that interact with AI and LLM-driven components . You'll be part of the Intelligence Kernel team , working on core services that handle data ingestion, schema validation, and interaction with HealthSigns AI modules including transcription, Smart Scan, and lab interpretation engines. This role is ideal for a developer who wants to work on real-world AI integration , not just API wrappers someone who understands how to build scalable backend pipelines that let AI reason, act, and automate clinical workflows. Key Responsibilities Develop and maintain backend APIs and data services in Python that power AI-enabled features. Design robust data models, schema validators, and retrieval logic to support structured LLM output. Integrate AI/LLM endpoints (e.g., transcription, reasoning, summarization) into production pipelines. Build and optimize retrieval-anchored workflows and caching layers for AI interactions. Ensure security, reliability, and version control in all AIbackend integrations. Collaborate closely with AI engineers and data scientists to productize AI features. Mentor junior developers and participate in architecture reviews and sprint planning. Technical Skills Strong expertise in Core Python and OOP principles . Experience with FastAPI / Flask , Pydantic , and RESTful API design . Hands-on experience with MongoDB (schema design, indexing, aggregation). Familiarity with LLM/AI integrations (OpenAI, Hugging Face, LangChain, or custom inference APIs). Understanding of message queues (Celery/RabbitMQ), caching, and API orchestration . Exposure to Docker , CI/CD , and cloud environments (Azure/AWS) . Experience with retrieval pipelines , schema enforcement , or prompt orchestration is a plus. Benefits Be part of the team building the AI Intelligence Kernel powering HealthSigns. Work on live AI use cases transcription, Smart Scan, care automation, and clinical reasoning. Flat hierarchy and rapid growth environment. Flexible remote or hybrid (Kochi) work setup.
About the Role We are hiring a Core Python Developer with strong experience in MongoDB to work on backend services that power the HealthSigns platform, including our EMR, Smart Scan, Smart Labs, transcription pipelines, and AI-driven clinical workflows. This role is central to building our Intelligence Kernel , which integrates AI reasoning, automation, and healthcare-grade data processing. Key Responsibilities Backend Development (Primary) Develop backend services and REST APIs using Python. Design MongoDB schemas, indexes, aggregation pipelines, and optimize query performance. Implement background workers, task queues, and scalable data flows. Integrate with AI/LLM outputs (transcription, Smart Scan, clinical reasoning). Ensure system reliability, security, role-based access, and detailed audit logging. Handle complex healthcare workflows involving EMR, orders, labs, and billing modules. Data & Platform Integration Convert unstructured model output into validated, structured clinical data. Build interfaces between backend, AI engines, and external systems (HIS/LIS/EMR). Implement fallbacks, confidence scoring, and error-handling mechanisms. Work closely with DevOps, QA, and frontend teams to deliver production-ready modules. Required Skills Python (4–6 years) , FastAPI/Flask, microservices, REST API development MongoDB (strong hands-on expertise) Schema design Aggregation pipelines Performance optimization Indexing strategy Experience building scalable backend systems Strong understanding of authentication, RBAC, logging, and integrations Familiarity with Git and CI/CD Strong debugging and problem-solving skills Bonus Skills Healthcare domain experience (EMR, LIS, HIS) Familiarity with OCR/LLM/NLP pipelines Cloud exposure (Azure/AWS) Soft Skills High ownership attitude Ability to work independently and collaboratively Strong communication and documentation habits Comfortable working in a fast-paced, product-driven environment Why Join HealthSigns? Work on mission-critical healthcare systems used in India, US, UAE, and LATAM Build backend services that directly integrate with AI engines High-growth, high-learning engineering environment Flexible Remote/Hybrid Kochi working model
Role Overview: As a Core Python Developer with strong experience in MongoDB at HealthSigns, you will play a crucial role in developing backend services for the HealthSigns platform. You will be responsible for working on various services including EMR, Smart Scan, Smart Labs, transcription pipelines, and AI-driven clinical workflows. Your primary focus will be on building the Intelligence Kernel, which involves integrating AI reasoning, automation, and healthcare-grade data processing. Key Responsibilities: - Develop backend services and REST APIs using Python. - Design MongoDB schemas, indexes, aggregation pipelines, and optimize query performance. - Implement background workers, task queues, and scalable data flows. - Integrate with AI/LLM outputs such as transcription, Smart Scan, and clinical reasoning. - Ensure system reliability, security, role-based access, and detailed audit logging. - Handle complex healthcare workflows involving EMR, orders, labs, and billing modules. Data & Platform Integration: - Convert unstructured model output into validated, structured clinical data. - Build interfaces between backend, AI engines, and external systems like HIS, LIS, and EMR. - Implement fallbacks, confidence scoring, and error-handling mechanisms. - Collaborate with DevOps, QA, and frontend teams to deliver production-ready modules. Qualification Required: - Proficiency in Python (4+ years), FastAPI/Flask, microservices, and REST API development. - Strong hands-on expertise in MongoDB, including schema design, aggregation pipelines, and performance optimization. - Experience in building scalable backend systems with a good understanding of authentication, RBAC, logging, and integrations. - Familiarity with Git, CI/CD, and strong debugging skills. - Bonus skills include healthcare domain experience, familiarity with OCR/LLM/NLP pipelines, and cloud exposure in Azure/AWS. Additional Details: At HealthSigns, you will have the opportunity to work on mission-critical healthcare systems used globally. You will directly integrate backend services with AI engines, offering a high-growth and high-learning engineering environment. The company also provides a flexible remote/hybrid working model, enabling you to thrive in a fast-paced, product-driven environment. (Note: The "About the Role" and "Why Join HealthSigns " sections have been omitted as they do not contain specific job description details.),