Staff Software Engineer (AI platform)

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.
• Support full-stack team activities, contributing to UI development in React.

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.
• Experience (or impressive side-projects) with LLMs / generative-AI stacks – e.g. embeddings, vector DBs, LLM prompt orchestration, model evaluation.
• 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.
• Demonstrated awareness of modern AI technologies and their implications (safety, privacy, reliability), with role-appropriate skills developed through internal training and applied practice

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.
• LLM frameworks such as LangChain, LlamaIndex or similar.
• Retrieval-augmented generation (RAG) patterns and evaluation metrics.
• Security, privacy and governance of enterprise software.

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.

Reasonable Accommodations:

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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.