Jobily
About the job
Our team is expanding, and we are hiring Senior AI Engineers with a focus on Generative AI (GenAI) and agentic AI to help us build and scale our next-generation AI applications. You will join a strong, fast-paced team working on the bleeding edge of AI technologies.
As a Senior AI Engineer, you will be responsible for creating innovative applications that leverage GenAI and are used both internally and by our clients. You will work with the latest GenAI technologies to design, develop, and deploy end-to-end production-ready applications.
The main responsibilities of the position include:
Design, develop, and maintain intelligent backend systems that combine LLMs, retrieval systems, and custom APIs, ensuring high performance, scalability, and reliability
Participate in team discussions and conduct code reviews, ensuring high standards for GenAI applications’ code quality, security, maintainability, and best practices (testing, CI/CD, observability, documentation)
Stay up to date with generative AI trends by proposing, researching, and integrating new technologies (e.g. vector databases, agent frameworks, LLM observability tools) to enhance AI capabilities
Collaborate cross-functionally with front-end developers, data scientists, and product managers to define requirements and design and deliver robust end-to-end solutions
Monitor and improve existing AI systems, identifying opportunities for optimization, cost efficiency, and performance enhancement
Main requirements:
BSc/MSc in Computer Science, Engineering, or a related field
5+ years of professional experience in backend development using Golang (preferred), Java, or Python
2+ years of hands-on experience developing and deploying production GenAI applications
Strong understanding of vector databases and semantic retrieval techniques
Practical experience with LLMs and prompt engineering, including the use of APIs and tools
Experience with agentic architectures and AI orchestration frameworks, such as LangChain, Genkit, or similar tools
Solid understanding of the full software development life cycle, including CI/CD pipelines, testing, and deployment on Cloud
Experience working in cross-functional teams, collaborating with product and program managers to deliver features on time and with high quality
Experience optimizing, monitoring, and testing LLM-based applications
Genuine passion for emerging GenAI technologies and innovation in the AI field
Strong teamwork and collaboration skills, with a proactive and solution-oriented mindset
Commitment to continuous learning
The following will be considered an advantage:
Experience with AWS Cloud Services (e.g. EC2, S3, SQS)
Knowledge of LLM observability frameworks (e.g. LangFuse) and tracing tools
Experience building pipelines for model evaluation, feedback collection, and continuous improvement of LLM-based systems
Work portfolio of open-source contributions, side projects, or technical blogs showcasing AI or backend engineering expertise
Benefit from:
Attractive remuneration package
Intellectually stimulating work environment
Continuous personal development and international training opportunities
Attractive relocation package and support for a smooth relocation for you and your family
The Hiring Experience: What Awaits You
Show Your Skills – Online Technical Challenge
Let’s Connect – Intro Chat with Talent Acquisition
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
About the company
We Give Every Client the Best Possible Trading Experience
Every client, regardless of account size, gets access to the same excellent trading conditions. Everyone who chooses XM has the same opportunity to pursue their investment goals.
Join Us
We pioneered the strict no requotes, no rejections policy that established our reputation. To prevent slippage and keep your strategy aligned with real-time market prices, 99% of all trades are executed in less than one second.
Similar Jobs
About the job
Our team is expanding, and we are hiring Senior AI Engineers with a focus on Generative AI (GenAI) and agentic AI to help us build and scale our next-generation AI applications. You will join a strong, fast-paced team working on the bleeding edge of AI technologies.
As a Senior AI Engineer, you will be responsible for creating innovative applications that leverage GenAI and are used both internally and by our clients. You will work with the latest GenAI technologies to design, develop, and deploy end-to-end production-ready applications.
The main responsibilities of the position include:
Design, develop, and maintain intelligent backend systems that combine LLMs, retrieval systems, and custom APIs, ensuring high performance, scalability, and reliability
Participate in team discussions and conduct code reviews, ensuring high standards for GenAI applications’ code quality, security, maintainability, and best practices (testing, CI/CD, observability, documentation)
Stay up to date with generative AI trends by proposing, researching, and integrating new technologies (e.g. vector databases, agent frameworks, LLM observability tools) to enhance AI capabilities
Collaborate cross-functionally with front-end developers, data scientists, and product managers to define requirements and design and deliver robust end-to-end solutions
Monitor and improve existing AI systems, identifying opportunities for optimization, cost efficiency, and performance enhancement
Main requirements:
BSc/MSc in Computer Science, Engineering, or a related field
5+ years of professional experience in backend development using Golang (preferred), Java, or Python
2+ years of hands-on experience developing and deploying production GenAI applications
Strong understanding of vector databases and semantic retrieval techniques
Practical experience with LLMs and prompt engineering, including the use of APIs and tools
Experience with agentic architectures and AI orchestration frameworks, such as LangChain, Genkit, or similar tools
Solid understanding of the full software development life cycle, including CI/CD pipelines, testing, and deployment on Cloud
Experience working in cross-functional teams, collaborating with product and program managers to deliver features on time and with high quality
Experience optimizing, monitoring, and testing LLM-based applications
Genuine passion for emerging GenAI technologies and innovation in the AI field
Strong teamwork and collaboration skills, with a proactive and solution-oriented mindset
Commitment to continuous learning
The following will be considered an advantage:
Experience with AWS Cloud Services (e.g. EC2, S3, SQS)
Knowledge of LLM observability frameworks (e.g. LangFuse) and tracing tools
Experience building pipelines for model evaluation, feedback collection, and continuous improvement of LLM-based systems
Work portfolio of open-source contributions, side projects, or technical blogs showcasing AI or backend engineering expertise
Benefit from:
Attractive remuneration package
Intellectually stimulating work environment
Continuous personal development and international training opportunities
Attractive relocation package and support for a smooth relocation for you and your family
The Hiring Experience: What Awaits You
Show Your Skills – Online Technical Challenge
Let’s Connect – Intro Chat with Talent Acquisition
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
Remote
Πληροφορική
Permanent
Full Time
About the company
We Give Every Client the Best Possible Trading Experience
Every client, regardless of account size, gets access to the same excellent trading conditions. Everyone who chooses XM has the same opportunity to pursue their investment goals.
Join Us
We pioneered the strict no requotes, no rejections policy that established our reputation. To prevent slippage and keep your strategy aligned with real-time market prices, 99% of all trades are executed in less than one second.