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SPARK Radiology

AI Engineer

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Description

We are seeking a highly skilled AI Engineer with 5-8 years of professional experience to design, develop, and deploy advanced AI solutions. The ideal candidate will have strong expertise in Python, React.js, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), chatbot development, and LangChain frameworks. This role requires a blend of backend AI engineering and frontend integration to deliver intelligent, scalable applications.


Responsibilities:

  • Design and implement AI solutions leveraging LLMs, RAG pipelines, and LangChain.
  • Develop and optimize chatbots for enterprise and consumer-facing applications.
  • Build scalable APIs and services in Python for AI-driven applications.
  • Integrate AI models with React.js frontends to deliver seamless user experiences.
  • Fine-tune and deploy LLMs for domain-specific tasks.
  • Collaborate with cross-functional teams including product managers, data scientists, and frontend developers.
  • Ensure performance, scalability, and security of AI applications in production.
  • Stay updated with emerging AI frameworks, tools, and best practices.


Requirements:

  • 5-8 years of experience in AI/ML engineering or related fields.
  • Strong proficiency in Python for AI/ML development.
  • Hands-on experience with React.js for frontend integration.
  • Expertise in RAG pipelines and knowledge of vector databases.
  • Deep understanding of LLMs (OpenAI, Anthropic, Hugging Face, etc. ).
  • Experience with LangChain for building AI workflows.
  • Proven track record in chatbot development and deployment.
  • Familiarity with cloud platforms (AWS, Azure, GCP) for AI model hosting.
  • Strong problem-solving and communication skills.
  • Experience with MLOps and CI/CD pipelines for AI models.
  • Knowledge of data engineering and ETL processes.
  • Exposure to prompt engineering and advanced LLM fine-tuning.
  • Contributions to open-source AI projects or published research.

Skills

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See also

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