Generative AI Engineer
Insight Global
About the role
About
Insight Global is seeking hands‑on AI Engineers/Developers with a background in Azure AI Foundry / GenAI Application Development to support AI initiatives for a financial services client. This role is not a general software developer position and is not for candidates with only theoretical AI exposure or light GenAI enablement. The team is focused on delivering real, production‑grade AI applications, leveraging Azure AI Foundry and Retrieval‑Augmented Generation (RAG) patterns. Candidates must have recent, hands‑on experience building GenAI applications, not just consuming APIs or adding AI features to existing apps. Banking or financial services experience is beneficial, and Wealth Management domain expertise is a plus, but not required.
Responsibilities
- Design and build production GenAI applications using Azure AI Foundry
- Develop and deploy RAG‑based AI solutions (document ingestion, embeddings, vector search, orchestration)
- Implement end‑to‑end AI workflows, including prompt design, grounding, evaluation, and monitoring
- Integrate LLM‑driven capabilities into enterprise applications using Azure‑native services
- Partner with architecture, product, and business teams on pure AI use cases
- Support scaling, optimization, and operationalization of AI applications in Azure
Requirements
- Hands‑on experience developing AI / GenAI applications for banking/financial services enterprise (must be recent)
- Strong, proven experience with Azure AI Foundry (true production usage, not POC‑only)
- Direct experience implementing RAG architectures in real‑world applications
- Experience working with Azure OpenAI models (embeddings, chat/completions)
- Strong programming experience (Python and/or JavaScript/TypeScript) for AI application development
- Experience delivering AI projects (from Agentic AI, GenAI, Chatbot, Workflow Automation)
Additional Information
We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
Requirements
- Hands-on experience developing AI / GenAI applications for banking/financial services enterprise (must be recent)
- Strong, proven experience with Azure AI Foundry (true production usage, not POC-only)
- Direct experience implementing RAG architectures in real-world applications
- Experience working with Azure OpenAI models (embeddings, chat/completions)
- Strong programming experience (Python and/or JavaScript/TypeScript) for AI application development
- Experience delivering AI projects (from Agentic AI, GenAI, Chatbot, Workflow Automation)
Responsibilities
- Design and build production GenAI applications using Azure AI Foundry
- Develop and deploy RAG-based AI solutions (document ingestion, embeddings, vector search, orchestration)
- Implement end-to-end AI workflows, including prompt design, grounding, evaluation, and monitoring
- Integrate LLM-driven capabilities into enterprise applications using Azure-native services
- Partner with architecture, product, and business teams on pure AI use cases
- Support scaling, optimization, and operationalization of AI applications in Azure
Skills
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