Asks for

The ad says“Experience with agentic AI systems and architecture, including tool use, function calling, agent workflows, orchestration, and multi-step reasoning”
The ad says“Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration”
The ad says“Strong knowledge and practical experience with AI/ML concepts, Large Language Models (LLMs), and modern Generative AI technologies”
The ad says“Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration”
The ad says“Good understanding of software engineering principles, APIs, distributed systems, and integration of AI capabilities into production applications”
The ad says“Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration”
The ad says“Fluent written and verbal communication skills in English”
The ad says“Strong knowledge and practical experience with AI/ML concepts, Large Language Models (LLMs), and modern Generative AI technologies”
The ad says“Experience with relevant AI/ML frameworks and libraries such as PyTorch, Hugging Face, LangChain, LangGraph, NumPy, and related tools”
The ad says“Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration”
The ad says“Experience with relevant AI/ML frameworks and libraries such as PyTorch, Hugging Face, LangChain, LangGraph, NumPy, and related tools”
The ad says“Experience with relevant AI/ML frameworks and libraries such as PyTorch, Hugging Face, LangChain, LangGraph, NumPy, and related tools”
The ad says“Strong knowledge and practical experience with AI/ML concepts, Large Language Models (LLMs), and modern Generative AI technologies”
The ad says“Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration”
The ad says“Experience with relevant AI/ML frameworks and libraries such as PyTorch, Hugging Face, LangChain, LangGraph, NumPy, and related tools”
The ad says“Strong Python programming skills, with proficiency in writing clean, maintainable, and Pythonic code”
The ad says“Experience with relevant AI/ML frameworks and libraries such as PyTorch, Hugging Face, LangChain, LangGraph, NumPy, and related tools”
The ad says“Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration”
The ad says“Good understanding of software engineering principles, APIs, distributed systems, and integration of AI capabilities into production applications”
The ad says“Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration”

Values

The ad says“Experience developing and integrating AI Assistants, Agentic AI systems, or LLM-based applications”
The ad says“Experience with CI/CD, automated testing, and production software development”
The ad says“Background in C or C++ programming and experience integrating AI/ML components into C/C++ applications”
The ad says“Background in C or C++ programming and experience integrating AI/ML components into C/C++ applications”
The ad says“Experience with CI/CD, automated testing, and production software development”
The ad says“Experience with AI infrastructure and deployment, including model serving, containers, cloud/on-premises environments, GPUs, and performance optimization”
The ad says“Experience with AI infrastructure and deployment, including model serving, containers, cloud/on-premises environments, GPUs, and performance optimization”
The ad says“Experience with RAG systems, information retrieval, embeddings, re-ranking, vector databases, and evaluation of LLM-based systems”
The ad says“Familiarity with Linux, networking, REST APIs, and distributed systems”
The ad says“Experience with NLP, LLM fine-tuning, prompt engineering, or LLM evaluation”
The ad says“Familiarity with Linux, networking, REST APIs, and distributed systems”
The ad says“Experience with NLP, LLM fine-tuning, prompt engineering, or LLM evaluation”
The ad says“Experience with NLP, LLM fine-tuning, prompt engineering, or LLM evaluation”
The ad says“Experience with RAG systems, information retrieval, embeddings, re-ranking, vector databases, and evaluation of LLM-based systems”
The ad says“Experience with RAG systems, information retrieval, embeddings, re-ranking, vector databases, and evaluation of LLM-based systems”
The ad says“Familiarity with Linux, networking, REST APIs, and distributed systems”

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Join BETA CAE Systems, Greece, as a Software Engineer II and become part of Cadence Design Systems, the pivotal leader in mechanical and electronic systems design.

Leveraging Cadence’s Intelligent System Design strategy and BETA CAE’s innovative engineering solutions, we deliver advanced products that empower some of the world’s most forward-thinking companies across diverse industries such as consumer electronics, hyperscale computing, communications, automotive, aerospace, and healthcare.

In this role, you will contribute to shaping the future by collaborating with cross-functional teams across both companies to develop and promote impactful products and strategies. Joining us means becoming part of a dynamic and evolving environment where teamwork, innovation, and a global perspective drive our continued success and leadership in the industry.

Your day-to-day tasks will include:

Work closely with our global team of engineers and product managers in the development of new functionality and tools for our software suite
Play a vital role in the development of custom projects for our clients
Understand business requirements and think of solutions in terms of not just the coding implementation, but also a solution that will best serve the driving need
Optimize and further enhance existing tech solutions and determine the next steps in the evolution
Work on the algorithmic solving of computational problems

Qualifications you need to have:

Bachelor's/Master’s degree in Engineering, Computer Science, Software Development, or a related field
Strong knowledge and practical experience with AI/ML concepts, Large Language Models (LLMs), and modern Generative AI technologies
Strong understanding of AI/LLM infrastructure, including model serving, inference, APIs, embeddings, vector databases, RAG pipelines, and AI service integration
Experience with agentic AI systems and architecture, including tool use, function calling, agent workflows, orchestration, and multi-step reasoning
Strong Python programming skills, with proficiency in writing clean, maintainable, and Pythonic code
Experience with relevant AI/ML frameworks and libraries such as PyTorch, Hugging Face, LangChain, LangGraph, NumPy, and related tools
Good understanding of software engineering principles, APIs, distributed systems, and integration of AI capabilities into production applications
Strong problem-solving and analytical skills, with the ability to quickly understand complex systems and identify effective solutions
Fluent written and verbal communication skills in English

Qualifications that will be considered:

Experience developing and integrating AI Assistants, Agentic AI systems, or LLM-based applications
Experience with RAG systems, information retrieval, embeddings, re-ranking, vector databases, and evaluation of LLM-based systems
Experience with AI infrastructure and deployment, including model serving, containers, cloud/on-premises environments, GPUs, and performance optimization
Background in C or C++ programming and experience integrating AI/ML components into C/C++ applications
Experience with NLP, LLM fine-tuning, prompt engineering, or LLM evaluation
Familiarity with Linux, networking, REST APIs, and distributed systems
Experience with CI/CD, automated testing, and production software development

What we offer:

Permanent employment contract following a six-month evaluation period
Competitive salary package
State-of-the-art and continuously updated equipment (hardware and software)
Ongoing training in the latest technologies related to the field
Opportunities for professional growth and skill enhancement
Private health insurance
Employee Assistance Program
Complimentary breakfast and lunch at the company dining hall
Company-provided transportation to and from the premises
Fully equipped on-site gym Kato Scholari
Participation in the company’s Private Pension Fund (T.E.A.)
Ample parking facilities with electric car charging
Comfortable and modern working environment

Apply now for a place in our team!

Asks for

Values

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

We’re doing work that matters. Help us solve what others can’t.