E-Solutions

Senior AI Engineer with Azure

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer with Azure, offering a contract length of "unknown" and a pay rate of "unknown." Located in the United States, it requires 8-12 years of experience, proficiency in Azure AI tools, and expertise in generative AI and RAG systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 25, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Azure DevOps #Sentiment Analysis #Scala #Compliance #Azure #NER (Named-Entity Recognition) #AI (Artificial Intelligence) #Data Enrichment #MLflow #Model Evaluation #React #Deployment #Metadata #Python #Power Automate #Docker #DevOps
Role description
Senior AI Engineer United State Skills Mandatory Skills : Azure AI Studio,Azure Cognitive Services,Azure Open AI Service Job description We are seeking a forward thinking AI Engineer to architect and deploy intelligent systems powered by Large Language Models LLMs Retrieval Augmented Generation RAG and advanced chunking strategies This role is ideal for engineers passionate about building scalable production grade AI applications that leverage cutting edge retrieval and generation techniques ROLE DESCRIPTION Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding Finetune and evaluate LLMs eg GPT LLaMA Ollama for tasks such as QA summarization NER and sentiment analysis Build multi agentic systems Integrate AI capabilities into enterprise applications using Azure OpenAI Cognitive Search Azure Functions and Power Automate Collaborate with stakeholders to translate business needs into scalable AI solutions Ensure model reliability performance and ethical compliance across deployments SKILLS 8 to 12 years of experience as Fullstack developer with at least 2 to 4 years in generative AI or RAG systems Proficiency in Azure AI Studio Azure Cognitive Services VectorDBs eg Pinecone FAISS Chunking techniques and embedding strategies MLOps tools MLflow Docker CICD pipelines Experience with prompt engineering model evaluation Mandatory Familiarity with Agentic Systems and MultiAgent Orchestration Technical Soft Skills Expertise Level Expert Good Knowledge NET React Expert PythonExpert AI SolutionsExpert Azure Cognitive SolutionsGood SDLC Lifecycle Good Partner Client Communications Expert Desired Skills Technical Soft Skills Expertise Level Expert Good Knowledge ADO Azure Devops Good Knowledge