We are looking for an experienced
AI Software Engineer / Applied AI Engineer
with strong software engineering expertise to design, develop, and deploy enterprise-grade Generative AI solutions. In this role, you will build LLM-powered applications, develop scalable RAG-based architectures, and integrate AI capabilities into cloud-native solutions that help solve complex business challenges.
You will work closely with business stakeholders, architects, product teams, and engineering teams to transform ideas into secure, scalable, and production-ready AI solutions.
Responsibilities
Design, develop, and deploy GenAI and LLM-powered applications for enterprise use cases.
Build, optimize, and maintain RAG-based solutions using embeddings, vector search, semantic search, and retrieval pipelines.
Develop agentic AI capabilities using tool/function calling, workflow orchestration, and intelligent automation patterns.
Integrate AI services with enterprise systems through REST APIs, cloud services, and scalable integration patterns.
Develop cloud-native applications and services on Azure, including Azure Function Apps, API Management, and related services.
Work with Microsoft Foundry, Azure OpenAI, Azure AI Search, or equivalent enterprise AI and search platforms.
Support end-to-end deployment activities, including design, development, testing, release, monitoring, and optimization.
Collaborate with business and technical teams to understand requirements, recommend solution approaches, and deliver innovative AI capabilities.
Troubleshoot technical issues, improve system performance, and apply strong analytical thinking to solve complex engineering challenges.
Stay current with emerging GenAI tools,



frameworks, and engineering practices to continuously improve solution quality and delivery.
Qualifications
Strong Python development skills with a solid foundation in software engineering principles.
Hands-on experience designing and developing GenAI and LLM-based applications.
Experience building RAG solutions using embeddings, vector search, semantic search, and retrieval-augmented architectures.
Practical experience with agentic AI, tool/function calling, and workflow orchestration.
Experience with Microsoft Foundry, Azure OpenAI, or an equivalent enterprise AI platform.
Experience with Azure AI Search or equivalent vector/search technologies.
Experience developing and integrating REST APIs with enterprise systems.
Experience building cloud-native applications on Azure, including Azure Function Apps, API Management, or related services.
Strong analytical, debugging, problem-solving, and communication skills.
Ability to work effectively with cross-functional business and technical teams in a collaborative delivery environment.
Preferred Qualifications
Experience with Microsoft Copilot Studio and/or Power Platform.
Familiarity with Microsoft Agent Framework, LangGraph, or similar AI orchestration frameworks.
Understanding of MCP and multi-agent architectures.
Experience with Databricks, MLflow, Spark, Snowflake, or similar data and analytics platforms.
Experience with Azure Document Intelligence.
Familiarity with LLM observability, testing, evaluation, monitoring, and governance platforms.
Experience with React, TypeScript, or modern web development frameworks.
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📌 Ai Software Engineer / Applied Ai Engineer (Xico)
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