Staff Software Developer

Genesys

2d•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

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