- Company Name
- Eden Smith Limited
- Job Title
- Agentic AI Engineer/Developer
- Job Description
-
Job Title: Agentic AI Engineer/Developer
Role Summary: Design, develop, and deploy intelligent applications on Microsoft Azure. Integrate Azure OpenAI, Cognitive Services, and Agentic AI frameworks into backend systems, build secure APIs, train and deploy ML/DL models, and ensure scalable, production‑ready solutions.
Expactations: Deliver end‑to‑end AI solutions that meet business needs; maintain secure, compliant cloud infrastructure; automate CI/CD pipelines; collaborate with product, data, and architecture teams; uphold performance and reliability best practices.
Key Responsibilities:
- Integrate Azure OpenAI, Cognitive Services, and third‑party AI APIs into backend workflows.
- Build, train, and deploy ML/DL models using Azure OpenAI, Llama or similar tools.
- Develop and maintain backend APIs/microservices in Node.js, Python, or C#.
- Secure authentication and role‑based access with Azure AD/Entra ID and Key Vault.
- Manage data ingestion and storage using Cosmos DB, Azure SQL, and Blob Storage.
- Automate CI/CD pipelines via Azure DevOps, GitHub Actions, Terraform/Bicep.
- Implement Agentic AI concepts and relevant frameworks.
- Monitor applications with Application Insights and Azure Monitor; enforce security and governance.
- Collaborate with cross‑functional teams to deliver production‑ready solutions.
Required Skills:
- Languages & Frameworks: Node.js, Python, C#, JavaScript, React, Angular; TensorFlow, PyTorch.
- Azure Services: Azure OpenAI, Azure ML, Databricks, Fabric, Cognitive Services, App Service, Functions, AKS, API Management, Logic Apps, Event Grid, Service Bus.
- Cloud & DevOps: Terraform/Bicep, Docker, Kubernetes, Azure DevOps, GitHub Actions, CI/CD pipelines.
- Security & Identity: Azure AD/Entra ID, RBAC, Azure Key Vault, Managed Identities.
- Monitoring & Governance: Application Insights, Azure Monitor, Defender for Cloud, Policy Compliance.
- Soft Skills: Agile delivery, stakeholder engagement, documentation, problem‑solving, cross‑team collaboration.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or related field.
- Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate, Azure Solutions Architect Expert, or Azure Developer Associate preferred.
South london, United kingdom
On site
19-11-2025