Senior Applied AI Engineer
At a glance
Senior AI Engineering role at Qualysoft. Budapest · full-time.
Pay not stated Applied AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Work with technical leaders and business partners to find workflow bottlenecks that automation can address
- Build and maintain internal apps, APIs, dashboards, AI agents and other automation tools
- Ship production-ready products that use generative AI, then test, debug and improve their code
- Turn AI risks and architecture patterns into practical rules, reusable tools and integrations
- Prototype ideas, gather user feedback and help stakeholders use AI-assisted development safely
What you bring
- At least seven years developing software in Python, with strong foundations in architecture, testing and maintainable systems
- At least two years applying generative AI, including LLMs, agents, retrieval-augmented generation and workflow orchestration
- Experience building Python APIs, internal tools or web apps, plus solid SQL, database design and data modeling skills
- You have used AI coding assistants while maintaining sound engineering standards
Who this fits
This is a senior, hands-on engineering role suited to someone who can work independently, handle ambiguity and turn business needs into practical software. The role is based in Budapest and follows a hybrid setup.
From the employer
Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 400 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients.
We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below!
We are seeking an experienced Applied AI Engineer to join an AI-first enablement team focused on transforming enterprise architecture through automation, internal tooling, lightweight applications, and Generative AI solutions.
This is a hands-on engineering role for a strong software developer with deep Python expertise who can design, build, and deliver scalable, production-grade solutions. The ideal candidate combines solid software engineering fundamentals with practical experience leveraging AI technologies to solve complex business problems.
Responsibilities:
- Partner with senior technologists and business stakeholders to identify automation opportunities and improve existing workflows.
- Design, develop, and maintain internal applications, APIs, dashboards, AI agents, and automation solutions.
- Build and deploy AI-enabled products using modern Generative AI technologies and frameworks.
- Translate emerging AI trends, risks, and architectural patterns into practical governance and enablement tools.
- Utilize AI coding assistants (e.g., GitHub Copilot, Cursor, Claude, Codex) to accelerate software development while maintaining engineering best practices.
- Review, test, debug, refactor, and optimize AI-generated and manually written code.
- Design efficient data models, database schemas, and scalable data access patterns.
- Rapidly prototype new ideas, gather user feedback, and iterate on solutions.
- Establish reusable frameworks, integrations, standards, and guardrails for responsible AI adoption.
- Support and mentor stakeholders in the safe and effective use of AI-assisted development practices.
Requirements:
- 7+ years of professional Python software development experience.
- Strong understanding of software architecture, design patterns, testing, maintainability, and scalable application development.
- Experience building APIs, automation solutions, internal tools, or web applications using modern Python frameworks.
- Solid knowledge of SQL, database design, and data modeling.
- 2+ years of hands-on experience with Generative AI technologies, including LLMs, AI agents, RAG, and workflow orchestration.
- Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude) while maintaining high engineering standards.Familiarity with modern AI frameworks and technologies such as LangGraph, Agent SDKs, vector databases, and retrieval systems.
- Strong problem-solving, communication, and stakeholder management skills.
- Ability to work independently, navigate ambiguity, and deliver practical solutions in a fast-paced environment.
- A builder mindset with a passion for creating high-quality, impactful products.
With us you count as a person, our doors are always open.We live the Qualysoft Team Spirit and stand for transparency!
Fresh wind and new ideas are welcome, because standstill is a foreign word at Qualysoft.