We are seeking an experienced Senior Software Engineer to join our Vet Healthcare Technology team. In this role, you will design, develop, and maintain cloud-native applications on Azure that power our Practice Management platform. You’ll collaborate closely with cross-functional teams—clinical SME’s, architects, QA, and DevOps—to deliver robust, scalable, and secure solutions utilizing .NET 8, React, and modern Azure services. Key Responsibilities Architecture & Design Lead design discussions and apply proven design patterns (e.g., CQRS, Repository, Factory) to ensure clean, maintainable code. Define microservices boundaries and integration strategies (APIs, messaging) for HL7 and FHIR data flows. Development & Integration Build backend services in .NET 8 , leveraging Azure Functions, Logic Apps, Service Bus, API Gateway, and Storage Services. Develop responsive front-end interfaces using React , TypeScript, and state-management libraries (e.g., Redux or Context API). Implement data persistence layers for SQL Server and PostgreSQL , including schema design, stored procedures, and performance tuning. Integrate with healthcare standards (HL7 v2/v3, FHIR R4) and third-party systems via secure, high-throughput interfaces. Quality & Compliance Write unit and integration tests to ensure code quality; participate in code reviews and pair-programming sessions. Follow best practices for security, privacy, and compliance in healthcare (HIPAA, GDPR, etc.). Mentorship & Collaboration Mentor mid-level engineers, drive knowledge-sharing sessions, and contribute to technical roadmaps. Work in an Agile/Scrum environment: estimate user stories, attend sprint ceremonies, and deliver incremental value. Required Qualifications B. Tech / BE – (CSE/IT/ECE/EEE) 6+ years of professional experience developing enterprise applications with .NET (latest versions, ideally .NET 8). Proficiency in React (with hooks and modern toolchains), HTML5/CSS3, and JavaScript/TypeScript. Hands-on experience with Azure Cloud Services : Functions, Logic Apps, Storage Accounts, Service Bus, Key Vault, API Gateway OAuth2/OpenID Strong SQL skills: T-SQL for SQL Server , PL/pgSQL for PostgreSQL , indexing and query optimization. Experience integrating with EHR/EMR systems and healthcare messaging standards: HL7 (v2/v3) and FHIR (R4). Solid understanding of Docker and container-based deployment workflows. Deep grasp of software design principles, SOLID, and common design patterns. Excellent problem-solving skills, communication, and ability to work collaboratively in distributed teams. Preferred Qualifications Prior experience in healthcare industry. Contributions to open-source projects or active participation in developer communities. Work From Office Location : Capital Park, Madhapur, Hyderabad https://g.co/kgs/6YdVPLD Contact: Vikram - 6309841855 (vpatharla@hapivet.ai / hr@hapivet.ai) Timings: General Shift ( 9 AM to 6 PM) https://hapivet.ai Show more Show less
Company Description Revolutionizing veterinary practice management with AI-powered solutions designed specifically for high-output veterinarians. Role Description This is a full-time on-site role for a React JS Developer located in Hyderabad. The React JS Developer will be responsible for developing front-end web applications using React JS. The role involves collaborating with back-end developers, designing and implementing user interface components, and optimizing application performance. The developer will participate in code reviews, debugging, and maintaining the existing codebase, ensuring high-quality deliverables. Qualifications Proficiency in Front-End Development and React JS, Next JS and JEST Knowledge of Software Development principles and best practices Hands-on experience with Redux.js Excellent problem-solving skills and attention to detail Ability to work collaboratively in a team environment Bachelor's degree in Computer Science, Information Technology, or related field Experience in the US Health Care domain is a plus
About HapiVet HapiVet is building the world’s first AI-first veterinary practice management platform. Our mission is to help veterinarians and clinic staff work more efficiently, reduce errors, and improve patient outcomes through intelligent, AI-driven workflows. We’re looking for an Applied LLM Engineer to help us design and productionize AI agents that can understand natural language and safely execute structured actions across scheduling, billing, inventory, documentation, and compliance modules. Responsibilities Agent Orchestration Build and maintain pipelines that transform free-text instructions into structured, auditable API calls. Use frameworks like LangGraph, LangChain,Crew.ai, AutoZen, DSPy, or Model Context Protocol to coordinate multi-step workflows. Prompting & Context Management Design prompt strategies and context-injection mechanisms that enforce safety, compliance, and domain-specific accuracy. Implement memory and retrieval strategies that improve consistency across tasks. Evaluation & Guardrails Develop test datasets of commands → expected structured outputs. Implement schema validation, RBAC enforcement, allow/deny lists, and human-in-loop confirmation for sensitive operations. Track accuracy, cost, latency, and hallucination rates in production. Applied ML Fine-tune lightweight models for intent classification or entity recognition. Build retrieval-augmented generation (RAG) systems for injecting policy, clinical, and workflow knowledge. Collaboration Work with backend engineers to expose APIs as safe, callable tools. Partner with UX and product teams to design smooth user interactions and error recovery flows. Collaborate with veterinary advisors to capture and validate real-world workflow pattern Qualifications 2–6 years of experience in applied AI/ML, NLP, or intelligent systems engineering. Strong proficiency in Python and ML frameworks. Hands-on experience with LLM orchestration frameworks (LangGraph, LangChain, DSPy, Semantic Kernel, or similar). Track record of deploying AI systems into production (cloud-native, preferably Azure). Knowledge of evaluation metrics and techniques for LLM reliability. Familiarity with multi-tenant SaaS architectures, APIs, and distributed systems. Bonus: healthcare/enterprise SaaS experience or familiarity with HIPAA/PHI compliance. What Success Looks Like (First 6–12 Months) Deliver AI agents that can reliably handle the top 20–30 most common veterinary workflows. Achieve >90% accuracy on offline evaluation datasets. Deploy a safe, guardrailed orchestration pipeline that integrates across multiple backend services. Scale multi-tenant deployments with strong monitoring, cost control, and performance visibility. Why Join Us Be part of a category-defining AI SaaS platform. Work at the cutting edge of applied LLMs and orchestration. Build technology that directly impacts healthcare providers and improves patient safety. Join a fast-moving team backed by experienced founders and domain experts.