Graduate AI Developer

Dell Technologies

Dublin +1 more

Who this role is best for

Aimed at mid-to-senior level software engineers with AI/ML expertise who can collaborate cross-functionally and deliver production-ready AI solutions.

Best fit for

Mid-to-senior software engineers with AI/ML experience who thrive in cross-functional teams
— “work closely with Product Managers, Data Scientists, ML Engineers, and Platform Engineers”
Candidates with a track record of deploying AI solutions beyond proof-of-concept
— “Experience building AI-powered applications beyond proof-of-concept stage.”
Professionals comfortable with both open-source and commercial LLM integration
— “Integrate commercial and open-source Large Language Models (LLMs) into enterprise applications”

Things to consider

The role demands production-grade AI delivery, not just experimentation or prototyping
— “Experience delivering enterprise-grade AI solutions into production environments”
Candidates should be prepared to work with legacy enterprise systems like SSIS and Power BI
— “Experience with modern cloud, data, and engineering practices, including Docker and containerization, CI/CD pipelines, Databricks, SSIS, Power BI integration.”

How to stand out

Showcase skills in integrating LLMs and AI-assisted automation into enterprise tools
— “Implement intelligent workflows, AI-assisted automation, and conversational experiences”
Demonstrate expertise in building scalable backend systems for model integration
— “Build scalable backend systems for model integration, orchestration, and data processing.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

deployed enterprise-grade AI solutions
worked across engineering, product, and business teams

Typical background

2+ years of software engineering experience2+ years of hands-on experience building and deploying AI-enabled applications

Skills & requirements

Required

Python.NET CoreRestful ApisBlazorAIMachine LearningLarge Language ModelsLlmsRAGMPCPrompt EngineeringConversational AIDockerCi/cd PipelinesDatabricksSSISPower BI Integration

Preferred

Advanced Ai/ml TechnologiesStatistical Modeling TechniquesLLM Fine-tuningGraph RAG Architectures

Stack & domain

Python.NET CoreRestful ApisBlazorArtificial IntelligenceMachine LearningLarge Language ModelsDockerCi/cd PipelinesDatabricksSSISPower BILeadershipCommunicationFinanceHealthcare

About the role

Original posting from Dell Technologies

As an AI Developer you will be responsible for designing, building, and optimizing scalable software solutions that power next-generation AI-native applications and enterprise platforms.
This role combines strong software engineering expertise with hands-on experience in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs), enabling the development of robust systems that support intelligent workflows, data processing, model integration, automation, and AI-assisted decision making.
The successful candidate will work closely with Product Managers, Data Scientists, ML Engineers, and Platform Engineers to deploy and operate enterprise-grade AI solutions that are secure, scalable, and production-ready.
You will:
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.
Essential Requirements:
2+ years of software engineering experience (Python, .NET Core, RESTful APIs, 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 environments.Proven ability to work across engineering, product, and business teams.Experience building AI-powered applications beyond proof-of-concept stage.
Desirable:
Experience with advanced AI/ML technologies, including machine learning frameworks, statistical modelling techniques, LLM fine-tuning, RAG/Graph RAG architectures.Experience with modern cloud, data, and engineering practices, including Docker and containerization, CI/CD pipelines, Databricks, SSIS, Power BI integration.

Source: Dell Technologies careers