We’re a fast-paced startup committed to delivering high-quality releases and an outstanding user experience. We thrive on innovation, collaboration, and a commitment to excellence. If you’re someone who enjoys diving deep into both manual and automated testing, and you’re eager to make an impact in a dynamic environment, we’d love to hear from you. What You’ll Do Design and build scalable data pipelines to gather, prepare, and serve data for AI workflows — including evaluation, fine-tuning, and retrieval pipelines. Integrate and operationalize LLMs and multimodal models, focusing on applying and adapting existing open-source or commercial models rather than building from scratch. Conduct error analysis, model evaluation, and cost/performance optimization to ensure production readiness and efficiency. Develop and maintain backend services (primarily in Java and Python) that power AI-driven features and automate data processing. Implement retrieval-augmented generation (RAG) and information retrieval pipelines to enhance system intelligence. Apply prompt engineering, validation, and A/B testing to improve system output quality. Collaborate with product and engineering teams to turn AI capabilities into end-user features with measurable impact. Stay current with emerging AI trends and tools, driving innovation and adoption across the company. What We’re Looking For 7+ years of hands-on software engineering experience, including system design and production-grade development. B.Sc. in Computer Science or Software Engineering (M.Sc. a
