Agentic AI Consultant
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Key skills for this role
About the Role
Adecco is seeking an Agentic AI Consultant with 3-4+ years of experience in Azure AI services, Python, and LLM/generative AI. The role involves developing AI solutions using Azure OpenAI, LangChain, and vector databases, with a focus on RAG architecture and model evaluation.
Key Skills for This Role
Responsibilities
- Develop AI solutions using Azure AI services and Python
- Implement LLM and generative AI applications with RAG architecture
- Utilize vector databases for semantic search and embeddings
- Apply DevOps/MLOps practices for deployment and monitoring
- Ensure cloud security and ethical AI compliance
Requirements
- 3 4+ years of working experience in relevant technical skills
- Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks
- Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI)
- Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques
- Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit learn, and NLP libraries (spaCy, NLTK)
- Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone
- Hands on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights
- Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns
- Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems
Full Job Posting
Technical Skills
- Azure AI Services: Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks
- Python Programming: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI)
- LLM & Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques
- ML Libraries & Frameworks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit learn, and NLP libraries (spaCy, NLTK)
- Vector Databases: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone
- DevOps/MLOps: Hands on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights
- Cloud Security & Integration: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns
- AI Ethics & Governance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems
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