Artificial Intelligence Engineer

7 days ago

Hyderabad, Telangana, India Dwaraka Starline Full time US$ 1,20,000 - US$ 2,00,000 per year

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
  • 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
  • working knowledge of TypeScript.
  • Veterinary data processing experiencehandling EMRs, patient histories, and diagnostic reports
  • Data 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.

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