AI Developer - Enterprise AI & LLM Platforms

Dell; Dublin; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Generous leave for new parents

Financial wellness tools

Flexible work arrangements

Job summary

Dell Technologies is seeking an AI Developer to design, build, and optimize scalable AI-native applications and enterprise platforms. This role blends strong software engineering with hands-on AI/ML expertise to enable robust systems for intelligent workflows and data processing.

You will collaborate with Product Managers, Data Scientists, ML Engineers, and Platform Engineers to deploy production-ready AI solutions, leveraging LLMs, RAG, and related technologies.

Qualifications

• 2+ years of software engineering experience with Python, .NET Core, RESTful APIs, and Blazor.
• 2+ years of hands-on experience building and deploying AI-enabled applications (LLMs, RAG, MPC, Prompt Engineering, Conversational AI).
• Experience delivering enterprise-grade AI solutions into production.

Responsibilities

• Design, develop, and maintain AI-powered enterprise applications and services.
• Build scalable platforms that support the next generation of AI-native enterprise tooling.
• Implement intelligent workflows, AI-assisted automation, and conversational experiences.
• Integrate commercial and open-source Large Language Models (LLMs) into enterprise applications.
• Build scalable backend systems for model integration, orchestration, and data processing.
• Collaborate across engineering, product, and business teams to deliver production-ready AI solutions.

Skills

Python

.NET Core

REST APIs

Blazor

Tools

Docker

Databricks

Power BI

Job description

Dell Technologies is seeking an AI Developer to design, build, and optimize scalable AI-native applications and enterprise platforms. This role blends strong software engineering with hands-on AI/ML expertise to enable robust systems for intelligent workflows and data processing.

You will collaborate with Product Managers, Data Scientists, ML Engineers, and Platform Engineers to deploy production-ready AI solutions, leveraging LLMs, RAG, and related technologies.