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Senior Artificial Intelligence Engineer - LLM / RAG

Senior Artificial Intelligence Engineer - LLM / RAG

Bloom Consulting services pvt ltdHyderabad
30+ days ago
Job description

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 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.
  • (ref : hirist.tech)

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