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 (Ciudad de México)
🏢 Concentrix
📍 Ciudad de México