Role & responsibilities Develop & Deploy a high-performance mobile app for Android & iOS/iPad using React Native, Swift, or Kotlin. Build a responsive web version using React.js, Node.js, Django, or Flask, Tailwind CSS, Framer Motion Design and implement RESTful APIs and integrate OAuth for secure authentication. Optimize database architecture using PostgreSQL, MongoDB, and Vector DB for AI/ML data handling. Create Figma wireframes/prototypes for UI/UX alignment, experience with design collaboration Deploy and manage cloud infrastructure on AWS (S3, EC2, Lambda) with cost-efficient scaling. Ensure cross-platform compatibility, security, and performance optimization. Integration with the AI Models and Data pipelines. Python for AI/ML integration Familiarity with AI model deployment (TensorFlow, PyTorch). Preferred candidate profile We are looking for an experienced and proven Full-Stack Developer to lead the development of our mobile and web platforms. The ideal candidate will have expertise in cross-platform mobile development, backend services, API integrations, database management, and cloud deployment with a strong focus on performance, security, and cost optimization. Send your resume, portfolio/GitHub links, and a brief note on your relevant experience

Role & responsibilities Build Doctor Agentic AI, a real-time diagnostic and decision-support system. Patient-Doctor interaction- transcribe, understand, and summarize voice notes, answer patient inquiries, and recommend tests or treatments. Integrate text, images, lab reports, and structured EHR data into AI systems that see the full patient picture and medical insights. Live monitoring tools that detect anomalies in vitals, trigger adaptive questioning, and accelerate early interventions. Preferred candidate profile 3+ years of experience in AI/ML with a focus on multimodal data and agent-based systems. Deep understanding of transformer models and medical LLMs. Multimodal Health AI Stack like;: BioGPT, Med Palm, Meditron, ClinicalBERT, OCR (AWS Textract, Google Document AI, Google Vision) CoMT (Chain-of-Medical-Thought Reasoning) pipelines. RAG/MEDRAG pipelines multimodal analysis for structured and unstructured medical data. Proficient with LangChain, OpenAI Agents, Responses AI and tool calling APIs. Use vector databases for semantic search and memory retrieval. Experience generating or managing synthetic patient data for fine-tuning. Skilled in Python, Node.js, Connect models to backend infrastructure and ensure secure data pipelines. Familiar with AWS deployment and cost optimization.