Why rinf.tech?

Why do we do what we do?

We inspire one another to share our tech-works in this amazing and abundant world. So we became developers, innovators, thinkers, software builders, and hardware makers!

Our Vision!

Founded in 2006 with 650+ engineers & global presence (8 delivery centers in Europe & North America) we strive to become a leading East-European technology partner for growing organizations in need of digital transformation of their products and services!

What you’ll do

• Collaborate with Global region stakeholders to identify Business needs and translate them into workable production ready solution.
• Creating data transformation infrastructure, managing data ingestion, for AI/ML related processes
• Transforming models into production-ready APIs, microservices, and software applications. Monitoring model performance, ensuring scalability, and updating systems to maintain accuracy.
• Building and maintaining the necessary IT infrastructure (cloud platforms like AWS/GCP, containerization) for AI development.
• Implement algorithms for personalization and anomaly detection aligned with compliance requirements.
• Working with data scientists, engineers, and product managers to define AI strategies and implement features.
• Ensure robust documentation of AI processes, standards, and controls in line with the Bank’s data governance policies.
• Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and delivery cycles.
• Stay current with emerging AI trends, including Generative AI and large language models (LLMs), and be prepared to integrate these advanced techniques into solutions where they can drive significant business value.
• Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real time, unstructured data to deploy AI/ML solutions
• Run experiments to test the performance of deployed models and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.

What you need to be successful

• Bachelor’s or Master’s degree in Artificial Intelligence / Data Science / Computer Science / Information Technology / Programming & System Analysis / Computer Studies / data science or a related field, with a minimum of 3 years of professional experience as a AI Engineer
• Proficient in Python, with a strong command of advanced syntax, popular libraries, and the ability to extend existing structures. Exhibits proficiency in Object-Oriented Programming (OOP) by implementing S.O.L.I.D. principles and in data structures & algorithms by analysing complexities and making efficient choices (e.g., Numpy vs. Pandas).
• Proficient in applying Generative AI by using, understanding, and tuning large language models (LLMs) for diverse scenarios. Skilled in architecting solutions that augment core models with external logic and tools (e.g., Retrieval-Augmented Generation or MCP) and in developing complex, end-to-end multi-agent systems using services like ADK, DialogFlow, or equivalent cloud services.
• Demonstrates basic knowledge and practical experience in core software engineering practices, including navigating operating systems, programming and querying languages (e.g., Java, SQL), version control (e.g., Git), development methodologies (Agile, Waterfall), CI/CD concepts (e.g., Jenkins), testing principles, and monitoring. Possesses a foundational understanding of design patterns, software architecture, and core cloud technologies (e.g., GCP, AWS, or Azure).
• Demonstrates basic knowledge in the theoretical and practical application of machine learning / deep learning.
• Capable of conducting code reviews for team members if needed
• Shows proficiency in the end-to-end data lifecycle, including advanced data engineering across traditional and cloud databases with a focus on query optimization. Highly skilled in data preprocessing, from comprehensive cleaning and encoding to advanced feature creation. A proficient communicator, capable of translating complex technical findings into clear, influential data stories for diverse audiences, including senior leadership. Possesses a foundational ability to create data visualizations (e.g., using Tableau) to support insights.
• Strong analytical and problem-solving skills and Excellent communication skills, both written and verbal.
• Ability to work independently and collaboratively in the context of global cross-functional teams. Familiarity with Agile methodologies and user story documentation.

What we offer you to be successful

• Flexible working environment, ability to work remotely or in a hybrid model, depending on your project requirements.
• Work with worldwide technology leaders - We partner and deliver technology to industry giants like Intel, NXP, Panasonic, Visteon, Carrefour, Windriver, Kardex, METRO Digital, and many others.
• Priority Plus Medical Subscription @Regina Maria (fully covered by the company)
• Mental Health Online Resources through the Hilio Wellbeing Platform
• Flexible benefits worth 1300 RON gross per month - you can choose the ones that suit your preference
• We have profit shares schemed that enable you to financially benefit from the new business you identify
• We have premium referral bonus for each successful recommendation you make - (500-1500 EUR NET based on seniority)
• Enjoy our vibrant offices in Romania's top IT hubs – Bucharest, Timisoara, Cluj, and Iasi, perfect for when you want to grab a coffee with your colleagues.
• Community – No man is an island, we stay connected through ongoing learning, project rotation, idea incubation, as well as through our Football Team, Townhalls, and Fun Thursday Office Day!

Join the #PeopleofManyTalents #EngineerOfTheFuture