Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Popular mid-level backend role with GenAI skills likely draws many qualified applicants.
Strong LLM, RAG, and LangChain requirements create high domain specificity, reducing transferability.
Explicit 4+ years requirement plus mandatory Python, FastAPI, and GenAI skills increases filter strictness.
Design, develop, and maintain scalable asynchronous REST APIs using Python and FastAPI to expose AI and machine learning capabilities.
Integrate Generative AI and Large Language Models into enterprise applications and backend workflows, including building and optimizing Retrieval-Augmented Generation (RAG) pipelines.
Deploy, monitor, and support AI-enabled applications on cloud platforms (AWS, Azure, or GCP) ensuring high performance, scalability, and reliability.
4+ years of professional backend development experience focusing on API development and integration.
Minimum 1+ year experience building or integrating production Generative AI and Large Language Model applications.
Proficiency in Python, FastAPI, REST APIs, GenAI/LLM, RAG pipelines, LangChain or LangGraph, SQL, and cloud platforms (AWS or Azure or GCP).
Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
Strong backend engineering focus with demonstrated experience addressing API performance, scalability, latency, and timeout issues.
Hands-on experience deploying AI orchestration workflows using modern frameworks like LangChain or LangGraph.
Experience working in cloud environments and integrating AI services with enterprise applications through REST-based interfaces.