POSITION : Sr.AI Engineer
LOCATION : MADHAPUR (CAPITAL TOWERS), HYDERABAD
CTC : UPTO 25 LPA
EMPLOYMENT : FULL TIME.
Key Responsibilities :
- Design AI-driven solutions for core veterinary workflows, such as patient triaging, diagnostics support, treatment plan suggestions, appointment scheduling, and client communications.
- Develop AI assistants and multi-agent systems to automate routine tasks like SOAP note summarization, clinical documentation (Medical Records), prescription and other reminders, and client follow-ups.
- Implement RAG pipelines leveraging veterinary knowledge bases, clinical case data, Case Summaries and standard care protocols.
- Integrate LLMs into practice management modules for intelligent querying, FAQ automation, and veterinary clinical knowledge support.
- develop and deploy AI services using Azure AI Services, Azure OpenAI, and integrate with Hapivet.ai
- Ensure secure, compliant, and scalable deployment of AI / ML models in line with veterinary data privacy standards and healthcare regulations.
- Collaborate with veterinarians, product managers, and software engineers to ensure AI solutions are clinically relevant, user-friendly, and impactful.
Required Skillset :
Machine Learning & Deep Learning for Healthcare :
Strong foundation in supervised / unsupervised learning, anomaly detection, and predictive analytics applicable to veterinary clinical data.Experience with CNNs (for imaging), RNNs / LSTMs (for sequential data like patient histories) and Transformers for natural language tasks.Proficiency with TensorFlow, PyTorch, and Hugging Face.Good to have understanding on GANs (medical imaging, data privacy-safe synthetic data, or image-based diagnostics)LLMs & NLP for Veterinary Applications :
Deep understanding of transformer models (GPT, BERT, LLaMA) applied in medical / veterinary text summarization and knowledge extraction.Fine-tuning LLMs with techniques with PEFT, LoRA, QLoRA for domain-specific tasks.Expertise in Prompt Engineering and Chain of Thought (CoT) design for veterinary use cases.RAG pipeline development with veterinary case databases using Pinecone or Azure AI Search.AI Agent Workflows & Orchestration :
Multi-agent coordination and AI workflow orchestration with LangChain, LangGraph, and Microsoft Autogen SDK.Experience with context management using Model Context Protocol (MCP) in clinical task flows.Cloud AI Deployment & Engineering
Experience with Azure AI, model serving (Triton, TensorFlow Serving, TorchServe).CI / CD for AI models, cloud security, and scalable API integration.Programming & Data Engineering :
Advanced proficiency in Python, R , Agentic AI.working knowledge of TypeScript.Veterinary data processing experience-handling EMRs, patient histories, and diagnostic reportsData cleaning, transformation, and ensuring data quality for clinical applications.Preferred Experience :
AI / ML deployment in veterinary practice management systems or healthcare applications.Understanding of veterinary compliance, data sensitivity, and client confidentiality (e.g., pet health records, veterinary licensing).Exposure to veterinary-specific AI applications, such as diagnostic imaging analysis, clinical decision support systems, or client interaction bots.Familiarity with DeepSpeed, Megatron-LM, and scaling techniques for LLMs.Soft Skills & Domain Understanding :
"Passion for improving pet care and veterinary services through technology".Strong communication skills for collaborating with veterinary professionals.Ability to translate clinical workflows into AI-enabled solutions.(ref : hirist.tech)