[Hiring] AI Software Engineer / Applied AI Engineer @CNX

Role Description

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.
• Integrate AI capabilities into cloud-native solutions that help solve complex business challenges.
• 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.

Location

MEX Work-at-Home

Time Type

Full time