AI Engineer - Banking

OpenKrill; United States; On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Premium medical package

Lunch Tickets

Bookster subscription

13th salary/yearly bonuses

Flexible remote work

Job summary

Qualysoft is seeking an AI Engineer to join our international team. You will collaborate with global stakeholders to translate business needs into scalable AI/ML solutions, building data pipelines, models, and production-ready APIs.

Ideal candidates have strong Python skills, experience with Generative AI, and a solid foundation in cloud platforms, CI/CD, and data engineering. Remote-friendly with global collaboration opportunities.

Qualifications

• Bachelor’s or Master’s degree in AI, Data Science, CS, or related field with professional AI engineering experience.
• Strong Python programming skills and libraries (e.g., Scikit-Learn).
• Experience with Generative AI, LLMs, and multi-agent systems.
• Foundational knowledge of design patterns, cloud technologies, CI/CD, testing, and monitoring.

Responsibilities

• Collaborate with global stakeholders to translate business needs into production-ready AI solutions.
• Build data transformation pipelines and AI/ML models for deployment.
• Develop production-ready APIs and microservices; monitor performance and scalability.

Skills

Python

Generative AI

Data analysis

OOP principles

CI/CD

Education

Bachelor’s or Master’s in AI/Data Science/CS

Tools

AWS/GCP/Azure

Git

Jenkins

Tableau

Job description

About Qualysoft

• 25 years of experience in software engineering, established in Vienna, Austria
• Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B)
• Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development
• We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms
• Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech
• Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia
• International team of 500+ software engineers
• Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner
• Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation.
• Project beneficiaries ranging from large-scale enterprises to startups
• Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions
• Quality-first mindset, culture of innovation, and long-term client partnerships
• Global and local reach - trusted by key industry players in Europe and the US

Responsibilities

• Collaborate with Global region stakeholders to identify Business needs and translate them into workableproduction 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 modelperformance, ensuring scalability, and updating systems to maintain accuracy.
• Building and maintaining the necessary IT infrastructure (cloud platforms like AWS/GCP, containerization) for AIdevelopment.
• 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 governancepolicies.
• 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 preparedto integrate these advanced techniques into solutions where they can drive significant business value.
• Support the production of scalable and optimized 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 theprocess.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by thefirm.
• Work with the relevant software platforms in which the models are deployed.

Qualifications

• Bachelor’s or Master’s degree in Artificial Intelligence / Data Science / Computer Science / InformationTechnology / Programming & System Analysis / Computer Studies / data science or a related field, with aminimum of 3 years of professional experience as a AI Engineer
• Proficient in Python, with a strong command of advanced syntax, popular libraries (e.g., Scikit-Learn), and theability to extend existing structures. Exhibits proficiency in Object-Oriented Programming (OOP) by implementingS.O.L.I.D. principles and in data structures & algorithms by analyzing 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 diversescenarios. 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 usingservices like ADK, DialogFlow, or equivalent cloud services.
• Demonstrates basic knowledge and practical experience in core software engineering practices, includingnavigating 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, andmonitoring. Possesses a foundational understanding of design patterns, software architecture, and core cloudtechnologies (e.g., GCP, AWS, or Azure).
• Demonstrates basic knowledge in the theoretical and practical application of machine 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 andcloud databases with a focus on query optimization. Highly skilled in data preprocessing, from comprehensivecleaning and encoding to advanced feature creation. A proficient communicator, capable of translating complextechnical findings into clear, influential data stories for diverse audiences, including senior leadership. Possessesa 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 withAgile methodologies and user story documentation.

What We Offer

• Premium medical package
• Lunch Tickets & Pluxee Card
• Bookster subscription
• 13th salary/yearly bonuses
• Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational
• A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities
• Flexible working program and openness to remote work
• Collaborative mindset – employees shape their own benefits, tools, team events and internal practices
• Diverse opportunities in Software Development with international exposure
• Flexibility to choose projects aligned with your career path and technical goals
• Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud)
• Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary

We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.