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Popular mid-level backend role with generalist requirements and in-demand GenAI skills increases applicant competition.
Skills like Python, FastAPI, cloud and LLM integration are broadly transferable across industries.
Multiple mandatory GenAI, backend, and Azure technical skills required, raising filtering strictness.
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Design and develop Generative AI solutions using OpenAI models and large language models (LLMs).
Build and optimize Retrieval-Augmented Generation (RAG) pipelines and implement intelligent workflows with LangChain, LangGraph, and agent-based architectures.
Develop and deploy secure, scalable REST APIs with FastAPI; manage data pipelines using Azure Blob Storage and secure credentials with Azure Key Vault.
Strong proficiency in Python and experience with FastAPI or similar API frameworks.
Hands-on experience with OpenAI APIs, RAG implementation, and prompt engineering techniques.
Familiarity with cloud-native architecture, specifically Azure Blob Storage and Azure Key Vault.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experienced in building and optimizing enterprise-grade AI solutions involving LLMs and RAG pipelines.
Skilled in designing intelligent workflows using LangChain, LangGraph, and agent-based systems.
Demonstrates capability to work in a fast-paced AI technology environment with cross-functional collaboration.