Description:

The AI Integration Engineer will develop and integrate AI features into the existing chat application.
This role involves utilizing OpenAI APIs and frameworks such as LangChain, LLamaIndex, and Semantic Kernel to deliver AI-driven solutions.
The engineer will design and implement efficient RAG workflows.
They will create agentic AI applications using frameworks like Autogen, LangGraph, and similar tools.
The position requires working with Azure AI Search and Azure AI Foundry to enhance data retrieval and integration.
Collaboration with the development team is essential to ensure smooth integration with the existing technology stack.

Requirements:

Candidates must have proven hands-on experience with OpenAI APIs and frameworks for AI-driven application development, including LangChain, LLamaIndex, and Semantic Kernel.
Expertise in RAG (Retrieval-Augmented Generation), semantic search, and vector database technologies, with a preference for Azure AI Search, is required.
Experience with frameworks for building agentic AI applications, such as Autogen and LangGraph, is necessary.
A solid understanding and experience in Prompt Engineering is essential.
Candidates should have experience with cloud GenAI services, including AWS Bedrock, GCP Vertex AI, and Azure AI Foundry, with a preference for Azure.
Proficiency in .NET or Python is required.
Nice to have skills include JavaScript and SQL.
The ability to work in a dynamic, fast-paced environment with minimal supervision is preferred.

The position offers a remote work opportunity, allowing for flexibility in work location.
It is a full-time role, providing job security and stability.
The company emphasizes a smooth and transparent hiring process, ensuring a good fit for both the candidate and the organization.
Candidates will have the opportunity to work with cutting-edge AI technologies and frameworks.
The role involves collaboration with a development team, fostering a team-oriented work environment.