Roles and Responsibilities
Architect and develop end-to-end technical solutions on the EisnerAI Platform to automate skilled services workflows.
Design agentic frameworks covering initiation, execution, state management, logging, error handling, and agent workforce coordination.
Implement advanced retrieval systems using Azure AI Search, vector search, semantic search, and knowledge mining.
Lead model evaluation frameworks and execute post-training optimization for custom LLMs and specialized AI agents.
Build data pipelines and machine learning workloads using Azure Databricks.
Integrate platform components seamlessly across Data Management, Governance, AI, Agents, and Application layers.
Enforce strict data governance policies, compliance,
and responsible AI practices across all platform developments.
Preferred Candidate Profile
Experience: 8+ years in software development with 4+ years in dedicated AI/ML architecture roles. 3+ years of hands-on experience with Azure cloud services and enterprise-scale solution deployment.
Technical Expertise: Proficient in Azure AI Foundry, Azure OpenAI Service, Azure AI Search, and Azure Databricks.
Robust programming skills in any Python, C#, JavaScript/TypeScript, or SQL.
Positive to have familiarity with Azure Machine Learning, Azure Cognitive Services, MLOps, CI/CD, and vector databases