About this role

Senior AI Engineer XM Daily tasks: - 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.

Musts: Machine learning, AI, Go, Python · 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

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