locations
Budapest, Hungary
Budapest (Flexible)
time type
Full time
posted on
Posted Today
job requisition id
JR107996
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
Staff Software Engineer
The Genesys Digital & AI group builds the innovations that power customer experiences for 7,500+ organisations worldwide. As a Staff Engineer you won’t just write code – you’ll set the technical direction for multiple teams, turning ambitious AI- and data-driven ideas into production-grade services that run at global scale. You’ll collaborate with talented engineers, researchers, designers and product managers, keep us honest on engineering excellence, and help the next generation of developers to grow. We don’t take ourselves seriously and we iterate rapidly to deliver valuable applied AI features to as many customers as possible.

What You Will Do:

• Architect end-to-end LLM services – orchestration layers, vector search, guardrails and evaluation loops – primarily developed in Python.
• Design for scale and world-class stability.
• Ship and support: guide projects from discovery to on-call, using CI/CD, IaC and rigorous observability to keep releases seamless and ultimately, boring.
• Multiply talent: mentor senior and junior engineers within and across teams; foster a culture of clean code, automation and data-driven decision-making.
• Champion cloud best practices on AWS (serverless, datastores, Bedrock, etc.) and steer continuous improvement of our release processes and infrastructure.
• Lead technical strategy: drive design reviews and architecture, set coding standards and influence our product and research roadmap through deep technical insight.
• Represent engineering in cross-functional forums, translating technical possibilities into business outcomes.

What We’re Looking For:

• Bachelor’s or Master’s degree in computer science or related disciplines.
• 6+ years building backend or platform software, with evidence of technical leadership at scale.
• Deep skill in Python and/or Java, plus algorithms, data structures and distributed-systems design.
• Comfortable with AWS at scale (IAM, DynamoDB, SQS, serverless, Bedrock, etc.).
• Fluency in modern DevOps & SRE: CI/CD pipelines, infrastructure as code, automated testing and observability, self-healing design.
• Track record of technical leadership – influencing roadmaps, unblocking teams and collaborating with non-engineers.
• Excellent communication skills – you can align diverse stakeholders around a clear technical vision.
• A growth mindset, healthy pragmatism, and the ability to make complex ideas simple.
• Demonstrated bias-to-action and proactive decision-making.

Desirable Experience or Appetite to Learn:

• Analytics and data science frameworks/technologies, e.g. Apache Spark, Pandas.
• Machine learning concepts and frameworks.
• Event-driven architecture, e.g. using Kafka, Kinesis, SQS.
• AWS cloud technologies.
• Experience (or impressive side-projects) with LLMs / generative-AI stacks – e.g. embeddings, vector DBs, LLM prompt orchestration, model evaluation.
• LLM frameworks such as LangChain, LlamaIndex or similar.
• Retrieval-augmented generation (RAG) patterns and evaluation metrics.
• Security, privacy and governance of enterprise software.

Our team already includes people of many genders, nationalities, ages and backgrounds. Diverse teams build better products, full stop – so if you’re unsure whether you meet every bullet, please apply anyway. We’re keen to hear how your unique experience can strengthen our crew.
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit
www.genesys.com
.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.
This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase

• Architect end-to-end LLM services – orchestration layers, vector search, guardrails and evaluation loops – primarily developed in Python.
• Design for scale and world-class stability.
• Ship and support: guide projects from discovery to on-call, using CI/CD, IaC and rigorous observability to keep releases seamless and ultimately, boring.
• Multiply talent: mentor senior and junior engineers within and across teams; foster a culture of clean code, automation and data-driven decision-making.
• Champion cloud best practices on AWS (serverless, datastores, Bedrock, etc.) and steer continuous improvement of our release processes and infrastructure.
• Lead technical strategy: drive design reviews and architecture, set coding standards and influence our product and research roadmap through deep technical insight.
• Represent engineering in cross-functional forums, translating technical possibilities into business outcomes