Senior AI Full Stack Developer

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.

Join the Innovation team at Genesys, where we’re redefining customer experience by building innovative, scalable solutions integrated with Genesys Cloud. We’re looking for a Senior AI Full Stack Developer to help design and deliver high-performance applications using AWS infrastructure. This is a unique opportunity to shape next-generation systems that impact customers around the globe.

Key Responsibilities:

• Develop Agentic AI solutions using the most advanced solutions available on Genesys Cloud
• Develop integrations to enhance Agentic AI solutions
• Develop robust, scalable backend services and APIs using Go
• Build dynamic, user-friendly front-end components with JavaScript and TypeScript
• Deploy and manage containerized applications using Kubernetes on AWS
• Integrate features and services with Genesys Cloud APIs to enhance CX workflows
• Optimize application performance, scalability, and reliability in cloud environments
• Collaborate with product managers, architects, and UX designers to define requirements
• Write clean, maintainable, and well-documented code following engineering best practices
• Troubleshoot and resolve complex production issues in a timely manner
• Participate in peer code reviews and mentor junior engineers on the team

Required Qualifications:

• Minimum of 5 years of professional software development experience
• 1+ year focused on AI/ML systems
• Proven expertise in agentic AI development, including hands-on experience with RAG, RAG pipelines and MCP framework
• Proficiency in Go for backend development
• Strong experience in system prompt engineering and tool use configuration and tuning
• Strong experience with JavaScript and TypeScript for front-end and full-stack applications
• Hands-on expertise with Kubernetes for orchestration and container lifecycle management
• Proven experience building and deploying cloud-native solutions on AWS (e.g., EC2, ECS, Lambda, S3)
• Solid understanding of microservices architecture and RESTful API design
• Strong analytical and problem-solving skills with attention to detail
• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience

Preferred Qualifications:

• Experience with Genesys Cloud AI Guides
• Experience integrating with Genesys Cloud APIs or comparable customer experience platforms
• Exposure to UX design principles or experience developing intuitive user interfaces
• Familiarity with AWS-native services such as CloudFormation, Step Functions, or DynamoDB
• Demonstrated contributions to open-source projects or a strong GitHub portfolio

Nice-to-Have:

• Experience with DevOps tooling including Docker, CI/CD pipelines, and Terraform
• Knowledge of Agile/Scrum methodologies and team collaboration practices

Why Join Us:

• Drive innovation that redefines global customer experiences
• Thrive in a collaborative and inclusive environment with flexibility and autonomy
• Access to comprehensive benefits and career development opportunities
• Work with state-of-the-art technologies including AWS and Genesys Cloud

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.  

Benefits:

• Medical, Dental, and Vision Insurance. 

• Telehealth coverage

• Flexible work schedules and work from home opportunities

• Development and career growth opportunities

• Open Time Off in addition to 10 paid holidays

• 401(k) matching program

• Adoption Assistance

• Fertility treatments

Click here to view a summary overview of our Benefits.

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:

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.

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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.