Job Description
About the job AI Engineer
Job Responsibilities:
Develop, deploy and maintain AI-enabled backend services and APIs.
Build, deploy, and manage AI and data workflows using Databricks, including use of Databricks Asset Bundles for environment-aware deployments.
Integrate and consume Large Language Models (LLMs) (e.g. Gemini, Claude, GPT) for use cases such as summarization, classification, retrieval-augmented generation (RAG), and conversational AI.
Develop lightweight front-end or integration components using JavaScript to support AI-driven user experiences.
Collaborate with product, data, and platform teams to translate business requirements into scalable AI solutions.
Support model integration, API testing, logging, monitoring, and performance optimization.
Follow secure coding practices and contribute to documentation to support governance, handover, and audit readiness.
Job Requirements:
Hands-on experience with Python for backend and AI-...
Job Responsibilities:
Develop, deploy and maintain AI-enabled backend services and APIs.
Build, deploy, and manage AI and data workflows using Databricks, including use of Databricks Asset Bundles for environment-aware deployments.
Integrate and consume Large Language Models (LLMs) (e.g. Gemini, Claude, GPT) for use cases such as summarization, classification, retrieval-augmented generation (RAG), and conversational AI.
Develop lightweight front-end or integration components using JavaScript to support AI-driven user experiences.
Collaborate with product, data, and platform teams to translate business requirements into scalable AI solutions.
Support model integration, API testing, logging, monitoring, and performance optimization.
Follow secure coding practices and contribute to documentation to support governance, handover, and audit readiness.
Job Requirements:
Hands-on experience with Python for backend and AI-...
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