Clinical Application Specialist in Bengaluru

Staff Software Engineer Bengaluru, Karnataka, India Opportunity Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop, and optimize our cloud-native healthcare platform while driving the adoption of AI-First and AI-Augmented Software Engineering practices. This role is pivotal in shaping the future of software development at Get Well by combining deep technical expertise with modern AI-assisted engineering workflows. As we evolve toward an AI-First engineering organization, this leader will champion the use of Generative AI, AI development assistants, and Agentic AI to improve developer productivity, software quality, and engineering velocity. The ideal candidate brings deep expertise in software architecture, cloud-native application development, AI-enabled engineering, and distributed systems. This role provides technical leadership across multiple engineering teams, ensuring high standards for architecture, code quality, reliability, security, and AI adoption. This is a hands-on leadership role where strategic thinking meets deep engineering execution within a complex healthcare environment. This position reports to the Director, Product Development and requires close collaboration with software engineers, AI engineers, product managers, DevOps, QA, and compliance specialists. Key Responsibilities Technical Leadership Define and drive the architecture of scalable, distributed healthcare pla

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. As an Application Engineer for AI Automation , you will be at the clinical edge of our intelligence layer. This isn't just about writing code; it's about architecting the nervous system of our automated enterprise. You will bridge the gap between heavy-duty enterprise platforms (Salesforce, Zuora, ServiceNow) and the next generation of Agentic AI. Your primary mission will be building high-performance Model Context Protocol (MCP) servers that allow AI agents to interact deeply with complex business logic—specifically within the Salesforce ecosystem (Quote, Opportunity, and Renewal services). You’ll move from building RAG-based retrieval to orchestrating Agent-to-Agent communication , creating a seamless autonomous workflow across our tech stack. Key Responsibilities Architect MCP Servers: Design and implement robust MCP servers to expose Salesforce services (Quote, Opportunity, Renewal) and other core platforms to AI agents. Data Mo

Job Title Lead Software Technologist I - UI Job Description Minimum required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Job title: Lead Software Technologist I Your role: Lead development of intuitive clinical user interface applications used by clinicians in high-acuity environments. Collaborate with UX teams and clinicians to ensure applications meet usability and safety requirements. Provide technical leadership across modern UI technologies and supporting C++ layers for embedded devices. Lead and mentor Platform development teams on software architecture, design patterns, and embedded systems best practices through daily hands-on collaboration. Lead and mentor application development teams on application services for physiological data visualization, and clinical decision support features. Establish and enforce quality standards, development methodologies, and coding practices that drive continuous improvement in software reliability and performance. Conduct rigorous code reviews and provide constructive technical feedback to ensure adherence to medical device software standards (IEC 62304, FDA regulations) Optimize application performance by identifying and resolving bottlenecks i

Job Title Software engineer II Job Description Software Engineer (HL7 Interface Engineer) Your role: Support development, configuration, and testing of HL7 interfaces for integration with EMR, PACS, and hospital systems Assist in HL7 message validation, mapping, and troubleshooting (ADT, ORM, ORU workflows) Configure and monitor interfaces using tools such as Rhapsody, Corepoint, Mirth Connect , or similar integration engines Perform interface testing and issue resolution , ensuring reliable data exchange across systems Support end-to-end implementation activities including build, testing, go-live, and hypercare phases Collaborate with global implementation, application, and integration teams for smooth delivery Monitor interfaces and resolve data flow and connectivity issues Maintain documentation for configurations, testing, and issue tracking You're the right fit if: Experience: 2–5 years in healthcare IT, integration support, or application support roles HL7 & Integration Skills: Understanding of HL7 v2 messaging, interface workflows, and healthcare interoperability concepts (mandatory) Technical Skills: Familiarity with SQL/databases, and exposure to integration tools (Rhapsody, Mirth C

Opportunity Get Well is looking for an experienced Senior Software Engineer to join our healthcare technology team and build next-generation, cloud-native and on-premise environment healthcare applications. You will play a key role in designing, developing, and deploying scalable, secure, and high-performance solutions that enable healthcare organizations to deliver better patient outcomes. The ideal candidate is passionate about software engineering, cloud technologies, AI-driven development, and healthcare interoperability standards. You will collaborate with cross-functional teams to build innovative products that meet healthcare compliance, security, and regulatory requirements. Key Responsibilities Design, develop, and maintain scalable cloud-native and on-premise environments, using modern software engineering practices. Build and enhance distributed microservices-based systems with high availability, performance, and security. Develop RESTful APIs and enterprise-grade backend services. Build responsive and modern user interfaces using contemporary frontend frameworks. Design and implement containerized applications using Docker and Kubernetes. Work with messaging systems and distributed event-driven architectures. Develop AI-powered applications leveraging Large Language Models (LLMs) Utilize AI-assisted development tools to improve engineering productivity and software quality. Build secure, compliant software aligned with healthcare regulations and industry best prac

Opportunity Get Well (GW RhythmX) is seeking a highly experienced and innovative Staff AI Engineer to lead the architecture, development, and optimization of cutting-edge AI solutions across the organization’s healthcare platform. This role requires deep technical expertise in large language models (LLMs), multimodal AI systems, agentic frameworks, and voice technologies—including STT (speech-to-text) and TTS (text-to-speech). As a Staff-level technical leader, you will guide the AI engineering lifecycle from conceptualization to deployment at scale while serving as a key cross-functional partner to product, engineering, and clinical teams. This is a high-impact, hands-on role for a forward-thinking AI expert with a strong understanding of emerging agentic systems and best practices in safety, observability, and machine learning operations in regulated environments. Responsibilities Healthcare-Focused AI System Design & Development Architect and develop production-ready AI models trained on real-world clinical datasets sourced from hospital systems, EHRs, and patient engagement platforms. Partner with clinical informatics and product teams to derive insights from structured and unstructured health data, including FHIR, HL7, CCDA, and EHR notes. Design and train speech-to-text (STT) and text-to-speech (TTS) models to power voice-enabled AI applications and virtual assistants in a healthcare setting. Integrate and optimize agentic systems using frameworks such as Lang

Job Title: Assistant – Operations Employment Type: Contract (12 months) Location: Bengaluru, India Work Type: Office-based Experience: 1–1.5 years About ClinChoice ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, the United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities • Biometric & Access Management: Manage biometric attendance systems and employee access control. Activate access for new joiners and deactivate access for exiting employees. Coordinate maintenance and troubleshooting of biometric devices. Maintain and update bio

Job Title: Lead - Aggregate Reporting Employment Type: Full-time Work Type: Remote About ClinChoice: ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, the United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities: Responsible for authoring Aggregate Safety Reports (including but not limited to PBRER/PSUR, ACO, DSUR, PADER, CAR, RMP, Ad-hoc safety reports for medicinal and non-medicinal products and EU-MDR PSUR, PMSR, PMSP, and PRER reports for medical devices, and Cosmetovigilance reports for Cosmetic products for submissions to various health authorities as per the requirement). Plan report-specific timelines, identify relevant stakeholders, request calls for

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex