Senior AI Engineer, Enterprise GenAI Apps & Workflows

DBI STaffing; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

DBI Staffing seeks a Senior Applied AI Engineer to design, build, and deploy enterprise generative AI applications and AI-enabled workflows. You will work with cross-functional teams to translate designs into secure, scalable software using Python and .NET/C#, on Microsoft Azure.

You will lead RAG solutions, knowledge-grounded tooling, and agent-like integrations with OpenAI, Azure OpenAI, Anthropic, or similar platforms, while focusing on performance, reliability, and cost efficiency.

Qualifications

• Strong .NET/C# development experience and modern app practices.
• Proficient Python for AI development, data processing, or evaluation.
• Hands-on experience building generative AI apps (RAG, agents, workflows).
• Experience with platforms like OpenAI, Azure OpenAI, Anthropic, or similar.

Responsibilities

• Develop and maintain AI-powered applications, agents, chatbots, and workflow automation using Python and .NET/C#.
• Build RAG and knowledge-grounded solutions, including document ingestion, embeddings, retrieval, search, and response generation.
• Integrate applications with AI platforms such as OpenAI, Azure OpenAI/Microsoft Foundry, Anthropic, or similar technologies.
• Develop reusable APIs, services, connectors, and application components.
• Integrate solutions with SQL databases, Azure Cosmos DB, vector search, and document repositories.

Skills

C#/.NET

Python AI

AI app development

LLM concepts

Tools

Azure OpenAI

OpenAI

Anthropic

Azure Cosmos DB

SQL

Job description

DBI Staffing seeks a Senior Applied AI Engineer to design, build, and deploy enterprise generative AI applications and AI-enabled workflows. You will work with cross-functional teams to translate designs into secure, scalable software using Python and .NET/C#, on Microsoft Azure.

You will lead RAG solutions, knowledge-grounded tooling, and agent-like integrations with OpenAI, Azure OpenAI, Anthropic, or similar platforms, while focusing on performance, reliability, and cost efficiency.