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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
-
💰 - Day rate
Unknown
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🗓️ - Date
October 25, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - 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
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






