Staff Software Developer

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

Staff Software Engineer

Enterprise Applications, Integrations, and Agentic AI

Role Overview:
Drive the design and delivery of enterprise-grade, AI-powered applications that transform how organizations orchestrate customer experiences at scale. This role directly influences how large enterprises adopt intelligent automation, improve service efficiency, and deliver seamless omnichannel interactions using Genesys Cloud. At Genesys, innovation is grounded in empathy and real-world impact, where engineering excellence enables meaningful customer and employee experiences globally. You will operate at the intersection of cloud architecture, full stack engineering, and agentic AI, shaping scalable solutions that solve complex business problems while maintaining performance, reliability, and security.

This position offers high visibility across product, consulting, and customer teams, with ownership spanning architecture through production. You will contribute to forward-looking AI capabilities such as intelligent assistants, workflow automation, and real-time decisioning systems. The role provides strong exposure to enterprise-scale systems, modern AI frameworks, and evolving cloud-native patterns, creating clear pathways for continued technical leadership and influence across the platform.

Key Responsibilities:

• Lead end-to-end architecture and delivery of scalable full stack applications that improve customer experience outcomes and operational efficiency
• Design and implement cloud-native systems on AWS that optimize performance, cost, and reliability for enterprise workloads
• Build and deploy AI-enabled applications using LLMs, improving automation, decision accuracy, and user experience across customer journeys
• Develop secure APIs, microservices, and event-driven systems that enable seamless integration with enterprise platforms and Genesys Cloud
• Drive adoption of agentic AI patterns such as tool invocation, workflow orchestration, and contextual reasoning to enable intelligent automation
• Establish engineering standards for code quality, testing, CI/CD, and observability to ensure production readiness and scalability
• Collaborate with cross-functional stakeholders to translate business requirements into scalable technical solutions and delivery roadmaps
• Troubleshoot complex production issues, improving system resilience, telemetry, and long-term maintainability

Required Qualifications:

• 8+ years of experience building and scaling commercial software applications in enterprise environments
• Strong full stack expertise in React, TypeScript or JavaScript, and Node.js
• Proficiency in at least one backend language such as Python or Java
• Demonstrated experience designing distributed systems, APIs, and cloud-native architectures
• Hands-on experience with LLMs, including retrieval-augmented generation, tool calling, and structured outputs
• Experience building or working with agentic AI systems, including multi-step workflows and autonomous execution patterns
• Strong understanding of AWS services and cloud infrastructure design principles
• Experience with CI/CD pipelines, automated testing, and infrastructure as code
• Proven ability to operate in customer-facing or consulting-driven environments with strong communication skills

Preferred Qualifications:

• Experience integrating AI platforms such as Amazon Bedrock, OpenAI, Anthropic, or similar services
• Familiarity with AI frameworks such as LangChain, LangGraph, or Semantic Kernel
• Experience in customer experience or contact center domains
• Knowledge of Genesys APIs, SDKs, or similar enterprise integration patterns
• Experience building real-time analytics or streaming applications
• Strong documentation and stakeholder management capabilities
• Experience optimizing database performance and large-scale data systems

#LI-Remote

#LI-GR1

Working at Genesys

• AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
• A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
• Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
• Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
• Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

• Our Talent Acquisition team reviews your application with the hiring team.

• A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.


• Next, you'll meet the hiring manager and other members of the interview team.

• We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

• After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

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:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at [email protected].

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—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.