Job Description

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