Job Title: Full Stack Engineer Location: Remote in India (EST Time Zone) Employment Type: Full-Time Department: Engineering Reports To: Director of Technology / Lead Engineer About the Role We are seeking skilled and self-motivated Full Stack Software Developers to join our fast-growing, fully remote engineering team. This is an exciting opportunity to be part of a mission-driven startup that is transforming how caregivers and administrators connect through modern scheduling, credentialing, and communication solutions. As part of a distributed team, you’ll be developing core features of our platform using cutting-edge Microsoft technologies in a high-impact, agile environment. The ideal candidate is passionate about delivering elegant, scalable solutions and thrives in a fast-paced, collaborative setting. Key Responsibilities Develop, test, and deploy features using Blazor , ASP.NET Core Web API , and .NET MAUI Build and maintain hybrid mobile applications for both iOS and Android platforms Work with Azure SQL Server and Dapper for data access Design secure and scalable solutions using Azure App Services , Azure Functions , and Service Bus Implement AI-driven features involving NLP , automation , and predictive analytics Integrate third-party services including Stripe , Checkr , and Plivo Collaborate closely with UI/UX designers using SyncFusion and Bootstrap Manage and support notification systems via Azure Push Notifications , AWS SMTP , and SMS gateways Participate in agile sprint planning , code reviews, and team discussions Required Qualifications Minimum 3 years of professional software development experience Proficiency in C# , .NET Core , and ASP.NET Core Hands-on experience with Blazor (Server or WebAssembly) Experience with .NET MAUI or other cross-platform mobile frameworks Working knowledge of AI/ML technologies , such as OpenAI , Azure AI , or NLP libraries Solid understanding of REST APIs , SQL , and cloud architecture (preferably Azure) Comfortable working independently in a remote, asynchronous team environment Preferred Qualifications (Nice to Have) Familiarity with Azure AI Services , OpenAI API , or custom ML model deployment Experience with Dapper , Azure Maps , and SyncFusion Understanding of CI/CD pipelines and DevOps workflows on Azure Background in healthcare tech , workforce scheduling , or gig-economy platforms Why Join Us? Work remotely in a flexible, async-friendly environment Be part of a purpose-driven team building real-world solutions that make a difference Opportunity to work with modern technologies and cloud-native architecture Collaborative team culture with room to grow, learn, and lead Show more Show less

Job Title: Quant/Data Scientist – Wealth Management Americas Technology Location: Pune, India Department: Data Analytics Foundational Platform (DAFP), Wealth Management Americas (WMA) Technology Employment Type: Contract About the Role We are looking for a highly motivated and innovative Quant/Data Scientist to join our Wealth Management Americas (WMA) Technology – Data Science Team in Pune. In this role, you will tackle complex, real-world challenges in wealth management using cutting-edge technologies, with a focus on machine learning , Generative AI , and large-scale data analysis . You will be part of a collaborative and global team that drives impactful insights and solutions for clients, advisors, and the business. Key Responsibilities Design and develop advanced statistical and machine learning models to derive actionable insights and improve business outcomes. Work with Generative AI (GenAI) technologies to create personalized insights for financial advisors, clients, and prospects. Leverage large datasets to conduct analysis, identify trends, and build predictive models. Integrate AI/ML models into wealth management workflows in partnership with cross-functional teams. Develop and implement solutions using LangChain, LangGraph , and Vector Databases to build scalable, intelligent applications. Contribute to the innovation of client-facing platforms through data science and automation. Required Qualifications & Skills Bachelor’s or higher degree in Machine Learning, Computer Science, Mathematics, Computational Linguistics , or related technical fields from a premier institution. Strong theoretical background in Probability, Statistics, Linear Algebra, Calculus , and Machine Learning . In-depth expertise in Deep Learning and Generative AI/LLM architectures. Practical experience with Large Language Models (LLMs) via platforms like Azure OpenAI , Anthropic , etc. Hands-on experience in cloud ecosystems such as Azure , AWS , GCP , or Databricks . Proficiency in LangChain , LangGraph , and working with Vector Databases . Strong programming skills in Python , with familiarity in libraries such as TensorFlow, PyTorch , or Hugging Face . Knowledge of financial products (e.g., mutual funds, ETFs) and client segmentation is a plus. Strong analytical and problem-solving abilities. Excellent communication skills to articulate complex ideas and insights clearly to both technical and non-technical stakeholders. About the Team You will join a global Data Science team within the Data Analytics Foundational Platform (DAFP) under Wealth Management Americas Technology . This team operates across the US, Poland, and India , driving AI and analytics innovation across the business.

Job Title: Generative AI Engineer Location: Pune, India Department: Data Analytics Foundational Platform (DAFP), Wealth Management Americas (WMA) Technology Employment Type: Full time About the Role We are looking for a highly motivated and innovative Generative AI Engineer to join our Wealth Management Americas (WMA) Technology – Data Science Team in Pune. In this role, you will tackle complex, real-world challenges in wealth management using cutting-edge technologies, with a focus on machine learning , Generative AI , and large-scale data analysis . You will be part of a collaborative and global team that drives impactful insights and solutions for clients, advisors, and the business. Key Responsibilities Design and develop advanced statistical and machine learning models to derive actionable insights and improve business outcomes. Work with Generative AI (GenAI) technologies to create personalized insights for financial advisors, clients, and prospects. Leverage large datasets to conduct analysis, identify trends, and build predictive models. Integrate AI/ML models into wealth management workflows in partnership with cross-functional teams. Develop and implement solutions using LangChain, LangGraph , and Vector Databases to build scalable, intelligent applications. Contribute to the innovation of client-facing platforms through data science and automation. Required Qualifications & Skills Bachelor’s or higher degree in Machine Learning, Computer Science, Mathematics, Computational Linguistics , or related technical fields from a premier institution. Strong theoretical background in Probability, Statistics, Linear Algebra, Calculus , and Machine Learning . In-depth expertise in Deep Learning and Generative AI/LLM architectures. Practical experience with Large Language Models (LLMs) via platforms like Azure OpenAI , Anthropic , etc. Hands-on experience in cloud ecosystems such as Azure , AWS , GCP , or Databricks . Proficiency in LangChain , LangGraph , and working with Vector Databases . Strong programming skills in Python , with familiarity in libraries such as TensorFlow, PyTorch , or Hugging Face . Knowledge of financial products (e.g., mutual funds, ETFs) and client segmentation is a plus. Strong analytical and problem-solving abilities. Excellent communication skills to articulate complex ideas and insights clearly to both technical and non-technical stakeholders. About the Team You will join a global Data Science team within the Data Analytics Foundational Platform (DAFP) under Wealth Management Americas Technology . This team operates across the US, Poland, and India , driving AI and analytics innovation across the business.