AI Developer - Senior - EY GDS

Ernst & Young Advisory Services Sdn Bhd; Argentina; A distancia; ARS 135.820.000 - 271.641.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Global exposure

Continuous learning

Flexible work

Diversity & inclusion

Descripción de la vacante

Ernst & Young seeks a skilled AI/ML Engineer to design and implement AI-powered solutions using LLMs, RAG architectures, and prompt engineering. You will build Python-based services, APIs and automation components to scale AI applications, and integrate Azure OpenAI, Mistral and Qwen into enterprise-grade solutions.

Responsibilities include deploying serverless and containerized components with Azure Functions and Docker, developing ML models with Scikit-learn, TensorFlow and Keras, and

Formación

• Hands-on experience with LLMs, Azure OpenAI, RAG systems and prompt engineering.
• Experience with cloud-native development using Azure Functions and Azure storage/database services.
• Experience building REST APIs and working with GitHub, Docker and unit testing practices.

Responsabilidades

• Design, develop and implement AI/ML-powered solutions using LLMs, RAG architectures and prompt engineering best practices.
• Build Python-based services, APIs and automation components to support scalable AI applications.
• Integrate Azure OpenAI, Mistral, Qwen and other model providers into enterprise-grade solutions.
• Design and implement agentic AI workflows using frameworks such as Auto-Gen and LangGraph.
• Develop, train, validate and maintain machine learning/deep learning models using Scikit-learn, TensorFlow, Keras and N-BEATS where applicable.
• Integrate data storage and retrieval capabilities using Azure Blob Storage, CosmosDB, MongoDB/NoSQL concepts, and SQL.
• Deploy serverless and containerized components using Azure Functions, Docker and cloud-native engineering practices.
• Create unit tests, maintain code quality, use GitHub for version control, and support delivery through modern development tooling.
• Apply secure engineering practices including Linux server hardening and operational readiness considerations.
• Collaborate with distributed teams, communicate technical decisions clearly and contribute to reusable delivery assets.

Conocimientos

LLMs

Azure OpenAI

Mistral

Qwen

RAG Systems

Prompt Engineering

Agentic AI

N-BEATS

Scikit-learn

TensorFlow

Keras

Educación

Bachelor's or Master's degree

Herramientas

Python

Azure Blob Storage

CosmosDB

MongoDB

SQL

Azure Functions

Docker

GitHub

Unittest

VS Code

Linux Server Hardening

Descripción del empleo

Fecha: 21 sept 2026

The opportunity

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development.

Your key responsibilities

• Design, develop and implement AI/ML-powered solutions using LLMs, RAG architectures and prompt engineering best practices.
• Build Python-based services, APIs and automation components to support scalable AI applications.
• Integrate Azure OpenAI, Mistral, Qwen and other model providers into enterprise-grade solutions.
• Design and implement agentic AI workflows using frameworks such as Auto-Gen and LangGraph.
• Develop, train, validate and maintain machine learning/deep learning models using Scikit-learn, TensorFlow, Keras and N-BEATS where applicable.
• Integrate data storage and retrieval capabilities using Azure Blob Storage, CosmosDB, MongoDB/NoSQL concepts, and SQL.
• Deploy serverless and containerized components using Azure Functions, Docker and cloud-native engineering practices.
• Create unit tests, maintain code quality, use GitHub for version control, and support delivery through modern development tooling.
• Apply secure engineering practices including Linux server hardening and operational readiness considerations.
• Collaborate with distributed teams, communicate technical decisions clearly and contribute to reusable delivery assets.

Skills and attributes for success

Technical attributes

• AI & ML: LLMs, Azure OpenAI, Mistral, Qwen, RAG Systems, Prompt Engineering, Agentic AI (Auto-Gen, LangGraph), N-BEATS, Scikit-learn, TensorFlow and Keras.

Cloud & Databases

• Python (Expert), Azure Blob Storage, CosmosDB and MongoDB (NoSQL notions), SQL and Azure Functions.

Integration & Tools

• REST APIs, GitHub, Docker, Unittest, VS Code and Linux Server Hardening.

Languages

• Python (Specialized), Java, C++ and Rust.

Management attributes

• Experience communicating technical study conclusions through written reports and presentations using tools such as PowerPoint, Excel and Word.
• Experience working under agile delivery methodology and collaborating with globally distributed teams.
• Experience researching new products/tools, validating emerging technologies and developing rapid prototypes.

To qualify for the role

• A bachelor's or master's degree.
• Hands-on experience with LLMs, Azure OpenAI, RAG systems and prompt engineering.
• Experience with cloud-native development using Azure Functions and Azure storage/database services.
• Experience building REST APIs and working with GitHub, Docker and unit testing practices.
• Understanding of secure engineering practices including Linux server hardening.

What we look for

• Team Player
• Self-starter and highly motivated
• Ability to handle high pressure and fast paced situations
• Excellent presentation skills
• Ability to work with globally distributed teams.
• Excellent written and oral communication skills.

What we offer

• EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About EY

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The exceptional EY experience. It’s yours to build.