AI Applications Engineer

Budapest - Hungary

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

Key Responsibilities

Design develop and support AI-based enterprise applications using modern AI tools and technologies (e.g. AI Agents Retrieval Augmented Generation RAG Managed Cloud Platform MCP Large Language Models).
Apply classical AI techniques such as clustering classification regression Monte Carlo simulations and Bayesian blending.
Participate in system planning scheduling and implementation for enterprise-scale AI applications.
Build new product features and/or enhance existing features to automate complex business flows and operations.
Collaborate with cross-functional teams to understand requirements and deliver innovative AI-driven solutions.
Ensure application scalability reliability and performance in a cloud environment.
Contribute to best practices for development testing and deployment of AI applications.

Responsibilities

Essential Skills

Proficiency in programming languages relevant to AI (e.g. Python Java).
Familiarity with modern AI/ML frameworks and platforms (e.g. TensorFlow PyTorch Oracle Cloud AI services).
Practical experience with enterprise software development including REST APIs microservices and cloud-native architectures.
Strong problem-solving skills particularly in translating business needs into scalable AI solutions.
Excellent written and verbal communication skills.
Ability to work effectively in a collaborative multi-disciplinary and global team environment.

Qualifications

Required:

Bachelors degree or equivalent experience in Computer Science Engineering Mathematics or a related technical field.
At least 1 year of experience in AI software engineering or closely related fields (exceptional candidates with less experience will be considered).
Hands-on knowledge of common AI techniques including machine learning methods and statistical modeling.

Preferred:

Masters degree or higher in Computer Science Data Science Artificial Intelligence or related discipline.
Experience with Large Language Models Retrieval Augmented Generation or other advanced modern AI tooling.
Prior work with cloud platforms (preferably Oracle Cloud Infrastructure) a major plus.
Experience in developing and deploying enterprise-grade AI solutions.
Familiarity with DevOps practices and tools for CI/CD.

Qualifications

Career Level - IC3

DescriptionKey ResponsibilitiesDesign develop and support AI-based enterprise applications using modern AI tools and technologies (e.g. AI Agents Retrieval Augmented Generation RAG Managed Cloud Platform MCP Large Language Models).Apply classical AI techniques such as clustering classification regre...

Description

Key Responsibilities

Design develop and support AI-based enterprise applications using modern AI tools and technologies (e.g. AI Agents Retrieval Augmented Generation RAG Managed Cloud Platform MCP Large Language Models).
Apply classical AI techniques such as clustering classification regression Monte Carlo simulations and Bayesian blending.
Participate in system planning scheduling and implementation for enterprise-scale AI applications.
Build new product features and/or enhance existing features to automate complex business flows and operations.
Collaborate with cross-functional teams to understand requirements and deliver innovative AI-driven solutions.
Ensure application scalability reliability and performance in a cloud environment.
Contribute to best practices for development testing and deployment of AI applications.

Responsibilities

Essential Skills

Proficiency in programming languages relevant to AI (e.g. Python Java).
Familiarity with modern AI/ML frameworks and platforms (e.g. TensorFlow PyTorch Oracle Cloud AI services).
Practical experience with enterprise software development including REST APIs microservices and cloud-native architectures.
Strong problem-solving skills particularly in translating business needs into scalable AI solutions.
Excellent written and verbal communication skills.
Ability to work effectively in a collaborative multi-disciplinary and global team environment.

Qualifications

Required:

Bachelors degree or equivalent experience in Computer Science Engineering Mathematics or a related technical field.
At least 1 year of experience in AI software engineering or closely related fields (exceptional candidates with less experience will be considered).
Hands-on knowledge of common AI techniques including machine learning methods and statistical modeling.

Preferred:

Masters degree or higher in Computer Science Data Science Artificial Intelligence or related discipline.
Experience with Large Language Models Retrieval Augmented Generation or other advanced modern AI tooling.
Prior work with cloud platforms (preferably Oracle Cloud Infrastructure) a major plus.
Experience in developing and deploying enterprise-grade AI solutions.
Familiarity with DevOps practices and tools for CI/CD.

Qualifications

Career Level - IC3

Key Skills

Diploma
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Eclipse
Facilities Management
End User Support
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About Company

Oracle

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when eve ... View more

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