Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking a Back-end Data Engineer with deep expertise in GCP, strong Python coding skills, and a security-first mindset. This role is critical in designing, implementing, and optimizing secure and scalable data pipelines to support AI-driven healthcare applications. The ideal candidate will have a strong background in cloud data architecture, big data processing, and compliance with healthcare security standards. Key Responsibilities: Data Pipeline Development & Optimization Design and develop scalable, secure, and high-performance data pipelines on GCP. Implement ETL/ELT workflows using tools like Dataflow and BigQuery. Optimize data processing for latency, cost-efficiency, and compliance with healthcare standards. Cloud Data Architecture & GCP Expertise Architect and manage data storage solutions (BigQuery, Cloud Storage, Spanner, Firestore) with a focus on security and performance. Leverage GCP-native services to build fault-tolerant, distributed data architectures. Implement data governance and access controls using IAM, VPC, and encryption best practices. Automation & Infrastructure as Code (IaC) Develop and maintain Infrastructure as Code (IaC) using Terraform, Deployment Manager, or CloudFormation. Automate data engineering workflows using Python, and CI/CD pipelines. Performance Monitoring & Optimization Implement logging, monitoring, and alerting using Cloud Logging, Cloud Monitoring, and other advanced techniques Continuously monitor and optimize data queries, storage utilization, and processing speed. Collaboration & Cross-Functional Integration Work closely with AI/ML engineers, full-stack engineers, quality engineering and data engineers to integrate AI-driven insights into healthcare applications. Provide expertise on data modeling, schema design, and efficient query execution. Skills & Experience: GCP Expertise: Deep experience with BigQuery, Dataflow, Cloud Composer (Airflow), Vertex AI, Pub/Sub, Cloud SQL, Spanner, and Firestore. Python Programming: Strong proficiency in Python for data processing, automation, and API development. Security-First Mindset: Hands-on experience with data encryption, access controls, and regulatory compliance. ETL/ELT & Data Pipelines: Expertise in building scalable and secure data processing pipelines. Monitoring & Optimization: Experience with Cloud Logging, Cloud Monitoring, and SQL performance tuning. Has worked across multiple tech-stacks, and thrived in collaborating with Data Science, Frontend/Applications and Infra teams. Strong knowledge of database technologies, both SQL and NoSQL and experience in optimizing database performance. 3 years of hands-on engineering experience, with demonstrated growth Has shown entrepreneurial spirit (e.g. worked at an early stage startup, or has started and delivered on a new product from the ground-up). Healthcare Industry Knowledge (Preferred): Familiarity with healthcare data standards (FHIR, HL7), compliance regulations, and PHI security best practices. Qualifications Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering, cloud architecture, and security-first data processing. GCP Certifications preferred (e.g., Professional Data Engineer, Professional Cloud Architect, Security Engineer). Experience working in healthcare AI, health tech startups, or enterprise healthcare IT environments is a plus. Strong portfolio of cloud-based data engineering projects demonstrating security best practices. Candidates located in Bangalore is a plus Candidates from top universities is a plus

About Radin Health Radin Health is a leading Healthcare SaaS company transforming the radiology landscape through innovative, AI-powered solutions. Our platform empowers imaging centers and teleradiology practices with integrated Radiology Information Systems (RIS), PACS, Voice Recognition (Dictation AI), Patient Engagement tools, and Revenue Cycle Management workflows. We are passionate about improving the speed, accuracy, and intelligence of diagnostic imaging operations. Join us in reshaping the future of healthcare technology. Position Summary We are seeking a dynamic and experienced Director of Customer Support to lead our customer-facing support team. This role is critical in ensuring a world-class service experience for our clients, who include radiology groups, imaging centers, and healthcare providers. You will oversee all aspects of our call center and support operations, ensuring timely resolution of technical and user issues, driving proactive support initiatives, and leading a team focused on continuous improvement, customer satisfaction, and operational excellence. Key Responsibilities Leadership & Strategy Define and execute the customer support vision aligned with company growth and product evolution. Build, mentor, and lead a high-performance team of support agents, leads, and managers. Champion a culture of accountability, empathy, and continuous learning. Establish, track, and improve key performance indicators (KPIs), including First Response Time, Time to Resolution, and Customer Satisfaction Score (CSAT). Customer Success & Engagement Serve as the final point of escalation for complex or high-impact client issues. Build trusted relationships with key B2B clients in the radiology sector. Partner with account management, onboarding, and sales to ensure client retention and satisfaction. Collect and synthesize customer feedback to inform product development and training needs. Operations & Technology Manage and optimize ticketing workflows, knowledge base content, self-service tools, and AI/chatbot implementations. Oversee the use and configuration of tools such as Jira Service Management, Intercom, Zendesk, or Freshdesk. Design and enforce escalation protocols, incident management plans, and SLA compliance. Implement automation strategies and process improvements to reduce support burden and improve responsiveness. Cross-Functional Collaboration Work closely with engineering, QA, and product teams to resolve bugs, guide prioritization, and represent the voice of the customer. Align with compliance and security officers to maintain HIPAA, SOC2, and data privacy adherence across all client interactions. Data-Driven Management Monitor and report on support center performance, client trends, and root-cause analysis of recurring issues. Present regular support insights and recommendations to the executive team. Use dashboards and analytics to proactively identify at-risk accounts and training gaps. Required Skills & Experience 8+ years in customer support or client services roles, with at least 3 years in a leadership capacity (preferably in SaaS or healthcare IT). Deep understanding of the radiology ecosystem, including PACS, RIS, HL7/FHIR workflows, and B2B healthcare partnerships. Proven success in managing a support center or technical support team in a SaaS environment. Strong command of cloud infrastructure (AWS/Azure/GCP), networking basics, database systems, and API integrations. Experience with ITIL practices, support operations frameworks, and automation tools. Outstanding communication, conflict resolution, and stakeholder management skills. Preferred Qualifications Bachelor s or Master s in Computer Science, Healthcare Informatics, Business, or related field. Experience supporting radiology groups, imaging centers, or teleradiology practices. Familiarity with HIPAA, SOC2, and data governance policies. Background in implementing or overseeing AI-enhanced customer support platforms. What Sets You Apart You ve built or scaled a support operation from the ground up or through high-growth stages. You speak both tech and customer fluently and know how to translate between them. You care deeply about quality, accountability, and customer empathy and it shows in how your teams serve and lead. Why Join Radin Health? Be part of a mission-driven company that s improving lives through smarter radiology. Collaborate with innovative, passionate, and driven professionals across healthcare and tech. Lead transformative change in a company that values transparency, agility, and excellence.

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking an AI Prompt Engineer with expertise in advanced prompt engineering techniques to optimize interactions with large language models for healthcare applications. This role will focus on designing, refining, and testing highly effective prompts that enhance the accuracy, relevance, and safety of AI-generated responses while ensuring compliance with healthcare regulations. Responsibilities: Prompt Engineering Optimization Design and develop advanced prompt engineering techniques to improve LLM-generated responses for healthcare applications. Fine-tune contextual prompts for improved accuracy, coherence, and latency Conduct rigorous A/B testing and evaluation of prompt strategies to optimize performance. LLM Training and Customization Work closely with ML and NLP engineers to fine-tune and train SLM and LLMs for domain-specific tasks. Collaborate on data curation, augmentation, and preprocessing to improve model outputs. Generative AI Conversational AI Development Create prompts optimized for healthcare-related interactions, summarization, and decision support. Performance Monitoring Model Improvement Develop advanced metrics and evaluation frameworks to assess prompt effectiveness. Implement continuous learning mechanisms to refine AI responses based on user feedback. Collaboration Research Stay ahead of emerging trends in generative AI, LLM advancements, and NLP techniques via research papers Collaborate with healthcare professionals, data engineers, and software engineers to integrate AI solutions into real-world workflows. Skills and Experience: Advanced Prompt Engineering: Strong demonstrated experience in crafting effective, structured prompts for AI models. Generative AI LLMs: Hands-on experience working with GPT models, LLaMA, or other state-of-the-art open and closed sourced architectures. NLP Expertise: Experience in natural language processing techniques such as semantic search, intent recognition, and contextual AI. Programming: Strong proficiency in Python, with experience using LangChain,,Transformers A/B Testing Model Evaluation: Expertise in designing experiments to assess prompt effectiveness and model accuracy. Healthcare Industry Knowledge (Preferred): Familiarity with healthcare workflows, clinical documentation, and medical terminology. Qualifications: Bachelor s or Master s degree in Computer Science, AI, NLP, Data Science, or a related field. 2+ years of experience in prompt engineering, NLP, or generative AI. Experience working with LLM-based applications in regulated industries (healthcare preferred). Strong portfolio of AI-driven projects, showcasing prompt engineering and model interaction improvements. Relevant certifications (e.g., Prompt Engineering, AWS/GCP AI Certifications) are a plus. Candidates located in Bangalore is a plus Candidates from top universities is a plus

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking a Founding Design Engineer with a strong emphasis on design principles to create intuitive, visually appealing, and highly functional healthcare applications. This role requires a deep understanding of user-centered design, accessibility, and usability best practices. The ideal candidate will work closely with engineers, and healthcare professionals to craft seamless digital experiences that improve efficiency and patient engagement. Key Responsibilities: User Experience Interface Design Leverage automated and AI-based design tools such as Figmas AI features, Adobe Sensei to enhance design workflows. Utilize AI-powered prototyping tools to accelerate iteration and testing cycles. Design and implement intuitive, user-friendly interfaces for healthcare applications. Conduct user research, usability testing, and feedback sessions to enhance product usability. Develop wireframes, prototypes, and high-fidelity UI designs to communicate design concepts effectively. Design System Best Practices Establish and maintain a consistent design system, including UI components, typography, and branding guidelines. Ensure compliance with accessibility standards such as WCAG to provide an inclusive user experience. Implement responsive design principles to optimize applications across multiple devices and screen sizes. Collaboration Development Integration Work closely with front-end engineers to ensure seamless implementation of UI designs. Collaborate with product managers and stakeholders to align design solutions with business goals. Advocate for user-centered design principles throughout the development lifecycle. Performance Usability Optimization Implement AI-driven usability testing and heatmaps to improve user interactions and identify pain points. Use machine learning-based A/B testing tools to optimize UI performance and engagement. Continuously analyze and optimize UI performance, including page load times and responsiveness. Use A/B testing and data-driven insights to refine UI/UX strategies. Stay up-to-date with emerging design trends and technologies to enhance healthcare application experiences. Skills Experience: Strong knowledge of UX/UI design principles, including user research and usability testing. Proficiency in design tools such as Figma, Sketch, Adobe XD, or similar. Experience in building and maintaining design systems for scalable applications. Understanding of front-end technologies (HTML, CSS, JavaScript) to facilitate collaboration with developers. Knowledge of accessibility standards and best practices for inclusive design. Strong problem-solving skills with a focus on usability and user engagement. Experience working with healthcare applications or regulated industries is a plus. Qualifications Bachelor s or Master s degree in UX/UI Design, Human-Computer Interaction, Graphic Design, or a related field. 3+ years of experience in UX/UI design, with a portfolio showcasing design work. Experience designing applications with complex workflows and user interactions. Familiarity with Agile methodologies and cross-functional team collaboration. Strong communication skills to present and justify design decisions. Candidates located in Bangalore is a plus Candidates from top universities is a plus

Ushur is transforming the way enterprises communicate and engage with customers. Fueled by consumer s self-service demands, enterprises are modernizing customer engagement and experience models. Ushur is fast becoming the platform of choice for Customer Experience Automation , enabling these enterprises to leapfrog their digital native counterparts and deliver delightful customer and employee experiences. With cutting-edge Conversational AI, Machine Learning and Intelligent Process Automation technologies, Ushur has enabled Fortune 100 enterprises including some of the world s most well known brands in healthcare, insurance, banking and financial services sectors to automate their customer engagement. Cloud-native, 100% no-code and purely workflow-driven, Ushur empowers citizen developers within business operations teams to build AI-powered, fully-automated and omni-channel experience to digitally transform customer journeys end-to-end. Role: Our fast-growing team is seeking a Manager of SRE to join us as we pioneer Customer Experience Automation TM as an Industry category. As the Manager of SRE you will be responsible for two important charters Operate and manage Ushur s production cloud Build a white-glove customer support and incident management function The ideal candidate for this role will be passionate about building a healthy high-performing team, and bring strong technical leadership, a customer-centric focus, and results-oriented action. You will begin as a player/coach while building and continuously improving execution, processes, tools/technology and analytics. Responsibilities: Build and Manage a world-class SRE team. Design a 24x7 follow-the-sun organization including seamless handover across regions. Mentor and grow team focused on delivering white glove support and incident management service. Drive data-driven SRE strategy by defining and prioritizing SRE Objectives and Key Results (OKRs) aligned with company mission. This includes setting measurable targets for key service level agreements Manager Enterprise Support function to deliver exceptional white glove experiences at scale in close partnership with our Customer Success, Solution Consulting and Engineering teams. Responsible for ensuring that the Ushur platform runs reliably in production. Partner with the DevOps, Security and Engineering teams to automate deployment, monitoring and observability of the production cloud. Bring deep technical expertise in Ushur Customer Experience Automation. Provide customers with ongoing technical support and incident management for complex issues and support escalations. Optimize and automate support processes including improving the reliability of on-call processes, managing incidents, updating runbooks and documentation, reviewing RCAs and recommending solutions to prevent the recurrence and severity of incidents. Cross-functionally to drive positive customer outcomes. Engage with Product, Sales, Customer Success, Solution Consulting, Security, and Engineering, as necessary to make customers successful on our platform Qualifications: 5+ years of experience of SRE/CloudOps Manager/Lead role in Enterprise SaaS Track record of developing and mentoring great talent, building and motivating high-achieving teams. Ability to lead diverse teams across multiple time zones. Business Acumen - Ability to quickly grasp and adapt to a variety of customer verticals, geographies, and business structures. Excellent verbal, written, and presentation skills with the ability to absorb complex technical concepts and communicate them to a non-technical audience Highly organized, collaborative and detail-oriented Deep experience with AWS cloud services, REST APIs, Linux Experience with DevOps processes and Build deployment, and orchestration technologies Passion for technology and for being a part of a fast-growing SaaS startup where we move quickly and wear many hats Flexible approach, able to operate effectively with uncertainty and change Driven, self-motivated, enthusiastic and with a can do attitude

Job Overview We are seeking a self-motivated, talented SDE and AI Engineer Intern who thrives in a fast-paced, autonomous environment to join our mission-driven startup. This role combines working with AI with the opportunity to make a profound impact on millions. Youll work with LLMs and backend systems to build a product that helps people unlock their full potential. If youre passionate about using your technical skills to create meaningful change and are excited by the challenge of building innovative solutions that truly matter, this is your chance to shine. Join us in our journey to empower individuals, foster personal growth, and make a lasting difference in the world through technology. This role offers not just career progression, but the opportunity to be part of a startup thats shaping the future of human potential. Responsibilities Develop and deploy features using large language models (LLMs). Design, implement, and maintain backend systems. Collaborate with cross-functional teams to define, design, and ship new features. Work on improving the performance and reliability of existing systems. Participate in code reviews and provide constructive feedback to peers. Stay up-to-date with the latest advancements in AI and backend development Take ownership of projects and drive them to completion with minimal supervision Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience in software development and AI engineering. Strong proficiency in programming languages such as Python Experience with large language models (LLMs) and backend systems (FastAPI). Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Demonstrated ability to work autonomously and manage multiple tasks independently

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking a sharp, curious, and technically capable Special Projects - AI Agent intern to join our AI team. In this role, you will work at the intersection of research, and AI engineering to prototype, test, and iterate on advanced autonomous AI agents and systems. You ll support the development of cutting-edge tools that push the boundaries of how humans interact with intelligent systems. This is an opportunity to work in a fast-paced environment focused on experimental projects with high strategic importance. Responsibilities: Collaborate with cross-functional teams to design, build, and evaluate experimental AI agents for internal and external use cases. Assist in scoping technical feasibility and helping implement LLM-based workflows or autonomous agents (e.g., ReAct, AutoGPT, LangChain, etc.). Help create proof-of-concept demos that showcase AI capabilities in real-world settings (e.g., customer support, research automation, internal tooling). Contribute to data collection, fine-tuning, or prompt engineering tasks to improve agent performance and reliability. Participate in brainstorming, research sprints, and rapid prototyping cycles. Document findings, experiments, and agent behavior for internal knowledge sharing. Qualifications: Currently pursuing (final year) or recently completed a degree in Computer Science, Data Science, Cognitive Science, Human-Computer Interaction, or a related field. Familiarity with large language models (LLMs) like GPT-4, Claude, MCP, or open-source alternatives. Hands-on experience with Python and frameworks such as LangChain, AutoGPT, or similar. Interest and extensively experimented in agent-based systems, prompt engineering, or applied AI. Superior problem-solving, communication, and collaboration skills. Candidates located in Bangalore will be given preference Candidates from top universities is a plus Bonus: Experience in UX design, rapid prototyping, or product thinking.

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking a Machine Learning NLP Engineer to drive the development of large language models (LLMs), deep learning architectures, and speech processing systems. This role is critical for AI-driven healthcare solutions while ensuring high performance, accuracy, and compliance with healthcare standards. Responsibilities: Machine Learning Deep Learning Development Design and implement machine learning algorithms for healthcare AI applications. Build and optimize deep learning models to enhance AI-driven decision-making processes. LLM Fine-Tuning Training Develop and fine-tune and train large and small language models to meet domain-specific requirements. Design robust data preparation and training pipelines for efficient model performance. LLM Architecture Expertise Work with state-of-the-art LLM architectures such as Transformers, GPT models, LLaMA, and others Research and implement novel enhancements to existing language models for better contextual understanding. Speech NLP Project Execution Implement speech-to-text and text-to-speech models for healthcare applications. Develop NLP solutions for intent prediction, sentiment analysis, and medical language translation. Programming Development Write and maintain high-performance Python code for ML/NLP applications. Utilize frameworks like PyTorch and TensorFlow to train and deploy AI models. Additional Contributions (Optional but Preferred) Apply advanced prompt engineering techniques for optimizing LLM interactions. Deploy ML models on cloud platforms (AWS, GCP, Azure) for scalability. Implement MLOps best practices, including CI/CD pipelines for ML and model monitoring. Skills and Experience: Machine Learning Deep Learning: Strong experience in designing, training, and deploying ML/DL models. LLM Expertise: Hands-on experience in fine-tuning and optimizing LLMs. NLP Speech Processing: Experience in developing NLP solutions and speech models. Programming: Advanced Python skills with proficiency in PyTorch and TensorFlow. LLM Architecture: Deep Knowledge of modern transformer-based models. MLOps Cloud: Demonstrated experience with cloud deployment, CI/CD for ML, and model monitoring. Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3+ years of experience in ML, NLP, or AI-driven model development. Proven track record of deploying LLM-based solutions in real-world applications. Experience working in healthcare AI, health tech startups, or regulated industries is a plus. Relevant certifications preferred (e.g., Google Professional ML Engineer, AWS Certified Machine Learning - Specialty). Candidates located in Bangalore is a plus Candidates from top universities is a plus

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. Engineering Excellence Lead architecture, design, and development across AI agent workflows, cloud-native infrastructure, and healthcare applications. Champion modern engineering practices such as Infrastructure as Code (IaC), test automation, and performance optimization. As a Solution Architect, constantly assess infrastructure design for security, scalability, reliability, and cost and provide improvement recommendations. Cross-Functional Leadership Build and scale high-performing product and engineering teams. Collaborate with design, AI/ML, DevOps, and go-to-market teams to drive execution. Foster a culture of innovation, ownership, and continuous learning. Scalable Product Leadership Proven ability to build and scale products from MVP to enterprise-grade platforms across millions of users or transactions. Experience in product lifecycle management at scale from roadmap planning and prioritization to delivery and post-launch iteration. Strong product sense, with a data-informed approach to growth, engagement, and retention. Ability to balance speed of execution with long-term platform stability and compliance needs. Track record of launching AI-driven, cloud-native solutions in complex environments (e.g., healthcare, fintech, govtech). Technical Product Expertise Cloud: Deep and demonstrated GCP experience (AWS a plus), including tools like Compute Engine, App Engine, Cloud Pub/Sub, etc. Database: Deep experience with BigQuery and MongoDB to manage large-scale, high-throughput data workloads. DevOps: Expertise with CI/CD pipelines, containerization (Kubernetes, Docker), and IaC tools (Terraform, Ansible). Security: Strong grasp of cloud security, IAM, threat modeling, and compliance frameworks. Observability: Experience with real-time monitoring, alerting, and performance diagnostics. Healthcare Domain Knowledge Familiarity with PHI protection, FHIR, HL7, RCM workflows, and healthcare-specific AI applications. Proven ability to design products that meet administrative and regulatory standards. Understanding of the unique challenges in scaling tech within healthcare environments. Leadership Communication Exceptional communication and cross-functional collaboration skills. Experience mentoring teams across engineering, product, and operations. Ability to operate at both strategic and hands-on levels. Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field from a top university 10+ years of experience across engineering, product, or cloud platform roles, preferably in health tech. 5+ years of senior leadership experience in building and leading product-engineering teams. Experience in AI/ML platforms, cloud-native healthcare applications, or regulated SaaS environments. Proficiency in modern databases such as MongoDB, PostgreSQL, or other NoSQL/SQL technologies. Certifications in GCP/AWS, or equivalent are a strong plus. Strong preference for candidates based in Bangalore or willing to relocate.

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. As the Senior Platform DevOps and Security on Google Cloud Platform (GCP), you will play a pivotal role in overseeing the development, deployment, and security of cloud-based infrastructure supporting AI-driven healthcare solutions and AI agents. This role requires someone who can ensure efficient, compliant, and secure software delivery within the highly regulated healthcare environment. Platform Strategy and Roadmap Develop and execute a strategic roadmap for the platform, ensuring alignment with healthcare industry standards and business goals. Foster innovation while ensuring reliability, scalability, and security of AI-driven healthcare solutions. DevOps Practices Implement and maintain automated DevOps processes, tools, and CI/CD pipelines to streamline development and deployment. Optimize DevOps workflows to ensure high availability and compliance with healthcare security standards. Security & Compliance Design, implement, and enforce healthcare-grade security policies and procedures to protect sensitive patient data (e.g., PHI under HIPAA). Ensure compliance with HIPAA, HITRUST, SOC 2 Type II, and NIST-CSF security frameworks. Develop and enforce zero-trust security principles across all platform components. Infrastructure as Code (IaC) & Cloud Expertise Automate infrastructure provisioning using Terraform, Cloud Deployment Manager, or equivalent tools. Leverage GCP services to build a scalable, secure, and high-performing cloud ecosystem. Monitoring, Alerting, & Performance Optimization Establish real-time monitoring, logging, and alerting systems to proactively identify and resolve platform issues Optimize platform performance, scalability, and cost-efficiency to meet healthcare workloads. Skills and Experience: Technical Expertise Cloud Computing: Demonstrated and extensive experience with GCP. Compute Engine, Cloud Storage, App Engine, Cloud Functions, Cloud SQL, Cloud Datastore, Cloud Pub/Sub, etc. Database : MongoDB or PostgresQL DevOps: Strong knowledge of automated CI/CD, containerization (Docker, Kubernetes),and automation tools like GitHub, Jenkins, CircleCI, Terraform, Ansible, Docker, Kubernetes. Security: Expertise in cloud security, threat modeling, IAM, and zero-trust architectures. Security Scanner, Cloud Security Command Center, Cloud Armor, Cloud Identity and Access Management (IAM) Infrastructure as Code (IaC): Proficiency in Terraform, Ansible, or Cloud Deployment Manager. Scripting & Automation: Strong scripting skills (e.g., Python, Bash) for infrastructure automation. Networking: Understanding of cloud networking, VPNs, and firewall security. Observability: Hands-on experience with logging, monitoring, and alerting tools. Healthcare-Specific Expertise Deep understanding of healthcare regulatory requirements, including HIPAA, HITRUST, NIST, and SOC 2. Experience working with healthcare data pipelines, interoperability (FHIR, HL7), and privacy-preserving AI solutions. Knowledge of Revenue Cycle Management (RCM) processes and challenges. Understanding of healthcare cybersecurity threats and best practices for PHI protection. Leadership & Soft Skills Leadership & Team Building: Proven ability to lead and mentor cross-functional teams. Problem-Solving: Strong analytical skills to diagnose and resolve complex technical issues. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, Cybersecurity, or a related field. 4-6+ years of experience in DevOps, cloud architecture, and security roles, preferably within the healthcare or regulated industries. 4-6+ years of leadership experience managing DevOps, security, or cloud engineering teams. Experience working in healthcare AI, health tech startups, or enterprise healthcare IT environments. Relevant certifications preferred (e.g., GCP Professional Cloud Architect, CISSP, CISM, CISA, AWS/GCP Security Specialty). Candidates located in Bangalore will be given preference

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking an AI Prompt Engineer Intern with expertise in advanced prompt engineering techniques to optimize interactions with large language models for healthcare applications. This role will focus on designing, refining, and testing highly effective prompts that enhance the accuracy, relevance, and safety of AI-generated responses while ensuring compliance with healthcare regulations. Responsibilities: Prompt Engineering & Optimization Design and develop advanced prompt engineering techniques to improve LLM-generated responses for healthcare applications. Fine-tune contextual prompts for improved accuracy, coherence, and latency Conduct rigorous A/B testing and evaluation of prompt strategies to optimize performance. LLM Training and Customization Work closely with ML and NLP engineers to fine-tune and train SLM and LLMs for domain-specific tasks. Collaborate on data curation, augmentation, and preprocessing to improve model outputs. Generative AI & Conversational AI Development Create prompts optimized for healthcare-related interactions, summarization, and decision support. Performance Monitoring & Model Improvement Develop advanced metrics and evaluation frameworks to assess prompt effectiveness. Implement continuous learning mechanisms to refine AI responses based on user feedback. Collaboration & Research Stay ahead of emerging trends in generative AI, LLM advancements, and NLP techniques via research papers Collaborate with healthcare professionals, data engineers, and software engineers to integrate AI solutions into real-world workflows. Skills and Experience: Advanced Prompt Engineering: Strong demonstrated experience in crafting effective, structured prompts for AI models. Generative AI & LLMs: Hands-on experience working with GPT models, LLaMA, or other state-of-the-art open and closed sourced architectures. NLP Expertise: Experience in natural language processing techniques such as semantic search, intent recognition, and contextual AI. Programming: Strong proficiency in Python, with experience using LangChain,,Transformers A/B Testing & Model Evaluation: Expertise in designing experiments to assess prompt effectiveness and model accuracy. Healthcare Industry Knowledge (Preferred): Familiarity with healthcare workflows, clinical documentation, and medical terminology. Qualifications: Bachelor s or Master s degree in Computer Science, AI, NLP, Data Science, or a related field. 2-4 years of experience in prompt engineering, NLP, or generative AI. Experience working with LLM-based applications in regulated industries (healthcare preferred). Strong portfolio of AI-driven projects, showcasing prompt engineering and model interaction improvements. Relevant certifications (e.g., Prompt Engineering, AWS/GCP AI Certifications) are a plus. Candidates located in Bangalore will be given preference Candidates from top universities is a plus