Principal Software Engineer, GenAI Engineering

Meet Our Team:

Pega Poland is a leading technology hub in Europe, driving innovation and delivering cutting-edge software solutions. Employees are encouraged to collaborate, develop their skills, and share their expertise in an open and supportive environment. In addition to our passion for technology, we value an inclusive work environment and engaged community, care deeply of wellbeing of our employees by providing wellness programs and social initiatives.

Join our Pega GenAI Engineering team and help shape the future of enterprise technology! We design and deliver cutting-edge applications for Global 500 clients, providing world-class Software as a Service (SaaS) solutions. You’ll collaborate with a diverse, fast-growing, and innovative group of engineers and product owners from across the globe.

Picture Yourself at Pega:

Imagine being part of a company that’s redefining enterprise software and Generative AI at scale. As part of Pega GenAI Engineering, you’ll get to work across different parts of our technology stack, building the services and capabilities behind AI-powered products. Our work has a strong focus on Generative AI and agentic engineering, including the systems that allow AI agents to work with enterprise data and support real-world workflows. Your work will focus on driving innovation in Generative AI, influencing the evolution of SaaS, and shaping the future of AI-powered solutions. You’ll work in an open and agile environment that values learning, growth, and exploring new AI technologies.

What You'll Do at Pega:

• Design and Develop GenAI Solutions: Spearhead the creation and management of advanced, Kubernetes-native systems using Golang, Java, or Python, with a primary focus on building, integrating, and scaling Generative AI capabilities, including services for knowledge retrieval and intelligent content processing.
• Architect Cloud-Native GenAI Services: Develop innovative service designs in a cloud-native environment, leveraging microservices and other cloud-native technologies to deliver robust, scalable, and highly available GenAI-powered solutions. Your work will directly influence the evolution of SaaS offerings and drive Pega’s GenAI transformation.
• Champion GenAI Quality and Automation: Establish and enforce rigorous testing, evaluation, and automation practices tailored for GenAI systems, ensuring smooth, reliable releases and continuous improvement in solution quality and reliability.
• Drive GenAI Innovation: Continuously explore, evaluate, and implement emerging tools, technologies, and methodologies in the Generative AI space. You’ll be expected to stay ahead of industry trends, experiment with new GenAI models and use cases, and bring relevant advancements into Pega’s products and platforms.
• Collaborate for GenAI Success: Work closely with Product Owners, Architects, and Operations teams in an Agile environment to deliver GenAI-driven features and solutions. Foster a culture of innovation, knowledge sharing, and cross-functional collaboration to accelerate GenAI adoption and impact.
• Own features development End to End: Take ownership of enhancements from design and development through deployment and adoption. Work with AI agents to explore solutions and improve delivery, while remaining accountable for the quality, rollout, and impact of what you deliver.

Who You Are:

• A passionate developer with a deep interest in Generative AI.
• Someone who stays ahead of the latest advancements in GenAI, including models, use cases, and industry trends.
• A strong advocate for DevOps culture with a versatile technical skill set.
• A professional who applies sound software design principles and patterns to build reliable, scalable GenAI services.

What You've Accomplished:

• Significant experience designing and building production-grade software systems.
• Hands-on experience with Generative AI and applying it to real-world enterprise use cases.
• Experience designing microservices-based architectures using cloud-native patterns, with a focus on scalability, resilience, and high availability.
• Strong knowledge of Go, Java, Python, or similar languages.
• Strong understanding of cloud technologies, ideally with a multi-cloud perspective. AWS Certified Solutions Architect - Associate or an equivalent Google Cloud or Azure certification is a plus.
• Strong knowledge and practical experience with Docker and Kubernetes. CKAD certification is a plus.
• Experience with infrastructure and deployment automation tools such as Terraform and Helm.
• Proven ability to solve problems, troubleshoot, and debug across Linux and common development stacks, including technologies such as Tomcat and PostgreSQL.
• Experience working with AI agents as part of the software engineering lifecycle, from design and development through deployment.
• A commitment to staying current with Generative AI advancements and applying them to real-world use cases.
• Strong written and spoken English.

Pega Offers You:

• A highly collaborative environment for designing and development of new ideas and features.
• A culture where employees engage deeply, own outcomes and lead from the front.
• Continuous learning and career opportunities – internal and external training opportunities, area for own initiatives.
• An inclusive, agile, and flexible work environment - we offer a variety of engaging social initiatives, from sports and charity events to recreational activities.
• Permanent agreement and benefits package (bonus incentive, employee equity in the company, Medical and Group Insurance, Multisport, Employee Assistance Program, and that’s not all).
• Flexible work mode: hybrid (min. 3 days/week from the office). Our modern office is located in Krakow (Bonarka4Business Center). We hope you will enjoy Pega relax/game rooms and social/sport initiatives soon!

#LI-MP1 #LI-hybrid

Additional Information

Base salary range for this role is 205,700 - 313,400 PLN annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives.

The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions and may vary from the posted range. We will share an information on benefits, bonus/commission, and other pay components for this role at the relevant recruitment stage.