Requirements Have at least 5 years of experience in AI/ML or related roles Hands-on experience building LLM-based systems beyond prompt engineering (e.g. RAG, fine-tuning, evaluation pipelines) Experience with prompt engineering and working with LLM APIs (e.g. OpenAI, Fireworks AI) Experience with LLM fine-tuning and evaluation of AI outputs Hands-on experience building AI-driven workflows using LangChain and LangGraph. Experience with vector databases (e.g. Elasticsearch),

Requirements Mandatory:  Advanced Python skills, including OOP, design-patterns, testing-frameworks Have experience with Pyspark, ideally based on work experience with Databricks (Apache Spark) Have experience in data integration with multiple sources (RestAPI, OracleDB, File Import, Confluence Kafka) Understanding of automated testing and CI/CD pipelines in a Trunk-based software development process (GitLab) Ability to translate business needs into requirements or stories.

Requirements Have background in Computer Science/ Information Technology or equivalent. Have solid knowledge in Java, OOP and Unit testing. Experienced in Java, Quarkus/Spring framework. Experienced with front-end web frameworks such as Angular, VueJS Familiar with Microservices architecture is a plus Be able to communicate with customers in English Good sense of teamwork, high responsibility, and self-organizing Familiar with Agile development methodologies (Scrum, XP, Kanba

Requirements 4+ years of experience in frontend web development (with UI/UX collaboration) Strong knowledge of HTML, CSS, and JavaScript Strong hands-on experience with ReactJS Good understanding of UI/UX principles (usability, spacing, typography, consistency) Comfortable discussing UI/UX directly with PO/client Able to propose and justify UI/UX improvements Experience with design systems is a plus Experience using UI/UX tools (e.g. Figma) to design, share, and discuss UI/UX

Requirements Multi-year (at least 5-6 years) practical and project experience in software engineering within a business and technically complex environment Good knowledge of Java/Java EE, Restful API, SQL, MongoDB, Micro Profile, Widfly, Quarkus, Docker, Kubernetes, Cloud Service Ideally, experience with microservices architecture Good researching and problem solving ability Understanding of agile development methodologies Independent, reliable, and collaborative team player

Requirements Multi-year (at least 5-6 years) practical and project experience in data engineering Good hands-on experience with the Google data cloud solution or any similar platforms Experience in data integration (ERP, API,..) and Python. Understanding of Data Warehouse/Data Lake/Data Lakehouse Understanding about Star-Schema/Snowflake data model Good problem-solving skills to maintain high-quality, reliable data across our ecosystem.  Independent, reliable, and collaborati