AI Application Engineer

Job Description

As an AI Application Engineer at our company, you will be responsible for designing, building, and scaling AI-enabled business applications and use cases. The core focus will be on utilizing LLM/SLM-based architectures within the Microsoft Azure ecosystem. Your role will be fully hands-on, requiring expertise in Python, multi-agent AI systems, and Azure-based cloud infrastructure. You will manage the complete lifecycle of AI application development, from architecture design and backend implementation to testing and production deployment.Key Responsibilities:- Design and develop AI-driven applications using LLMs, RAG patterns, and multi-agent orchestration concepts.- Build, maintain, and scale backend services in Python.- Architect and deploy AI solutions within Microsoft Azure.- Integrate AI and Python services with enterprise data sources and business systems.- Ensure performance, reliability, and production readiness of AI applications.- Monitor, optimize, and troubleshoot AI model behavior, orchestration logic, and system latency.Qualifications Required:- 6 to 8 years of professional experience, including: - 4 years in software engineering or backend development roles. - 2 years in Generative AI or LLM-based application development.- Strong proficiency in Python.- Hands-on experience integrating and configuring LLM APIs (Azure OpenAI preferred).- Experience building and deploying applications within Microsoft Azure.- Solid understanding of REST APIs, scalable system design, and cloud-native architecture.In this role, you will need to be fully available between 08:00 AM 4:30 PM CET (12:30 PM IST to 9 PM CET), with English as the primary working language. Immediate availability is also required.Please note that the selected candidate must work according to India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST). As an AI Application Engineer at our company, you will be responsible for designing, building, and scaling AI-enabled business applications and use cases. The core focus will be on utilizing LLM/SLM-based architectures within the Microsoft Azure ecosystem. Your role will be fully hands-on, requiring expertise in Python, multi-agent AI systems, and Azure-based cloud infrastructure. You will manage the complete lifecycle of AI application development, from architecture design and backend implementation to testing and production deployment.Key Responsibilities:- Design and develop AI-driven applications using LLMs, RAG patterns, and multi-agent orchestration concepts.- Build, maintain, and scale backend services in Python.- Architect and deploy AI solutions within Microsoft Azure.- Integrate AI and Python services with enterprise data sources and business systems.- Ensure performance, reliability, and production readiness of AI applications.- Monitor, optimize, and troubleshoot AI model behavior, orchestration logic, and system latency.Qualifications Required:- 6 to 8 years of professional experience, including: - 4 years in software engineering or backend development roles. - 2 years in Generative AI or LLM-based application development.- Strong proficiency in Python.- Hands-on experience integrating and configuring LLM APIs (Azure OpenAI preferred).- Experience building and deploying applications within Microsoft Azure.- Solid understanding of REST APIs, scalable system design, and cloud-native architecture.In this role, you will need to be fully available between 08:00 AM 4:30 PM CET (12:30 PM IST to 9 PM CET), with English as the primary working language. Immediate availability is also required.Please note that the selected candidate must work according to India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST).

Keyskills :
PythonMicrosoft Azuremultiagent AI systemsAzurebased cloud infrastructureLLMsRAG patternsbackend servicesGenerative AILLM APIsREST APIsscalable system design