Ai Engineer - Banking

Lever, Inc.; Porto Velho; Hybrid; BRL 250,000 - 380,000; Full time

Benefits offered by this job

Premium medical package

Lunch Tickets & Pluxee Card

Bookster subscription

13th salary/yearly bonuses

Flexible remote work

Job summary

Qualysoft is hiring an AI Engineer to collaborate with global teams, turning AI strategies into production-ready APIs and services. You will build data pipelines, deploy models, and ensure scalable, reliable AI solutions across cloud environments.

You will apply Python, ML libraries, and LLM techniques, while working with data scientists and product managers to advance AI initiatives in a fast-paced setting.

Qualifications

• 3+ years of professional AI engineering experience.
• Proficient in Python with ML libraries (Scikit-Learn).
• Experience with Generative AI and large language models (LLMs).
• Knowledge of core software engineering practices (CI/CD, testing).
• Experience in data engineering and cloud platforms.

Responsibilities

• Collaborate with global stakeholders to define AI needs and translate into production solutions.
• Develop data ingestion and transformation pipelines for AI/ML processes.
• Build production-grade APIs, microservices, and apps; monitor performance and scalability.
• Create AI infrastructure on cloud platforms and containerization.
• Work with data scientists and PMs to implement AI strategies.

Skills

Python

LLMs

AI Engineer

Algorithms

Cloud

Agile

SQL

Git

CI/CD

Education

Bachelor's/Master's in AI/CS

Tools

AWS

GCP

Azure

Jenkins

Git

Tableau

Job description

About Qualysoft25 years of experience in software engineering, established in Vienna, Austria

Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54 B)

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, Dev Ops, Io T, 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 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.
• 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 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 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.

Qualifications

• 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 (e.g., Scikit-Learn), 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 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 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, Dialog Flow, 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.
• 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

• 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.*