[Hiring] Software Engineer, Full Stack @Genesys

Role Description

The Innovations team at Genesys builds applications and agents on top of Genesys Cloud and ships them to enterprise customers through App Foundry. We're hiring a full-stack engineer who wants to build AI applications that solve real problems in customer experience. You'll work across the stack — React frontends, backend services, LLM integrations — and be expected to look at a messy customer problem, figure out what to build, and get it into production.

The number one thing we hire for: drive. You don't wait for perfect requirements. You run the experiment, measure what happened, and iterate. Don’t have the resume experience? Show us what you’ve built and we’ll give you due consideration.

• An industry-specific AI agent (healthcare, financial services, etc.) built on Genesys Cloud's virtual agent platform, handling the full lifecycle from intent detection through action execution with reliable human handoffs.
• A compliance monitoring tool that evaluates live interactions against regulatory requirements and gives supervisors actionable options to coach or step into interactions.
• Evaluation infrastructure for our agent products — golden-set testing, adversarial conversation generation, cost/latency/quality scoring.

Key Responsibilities

• Own features end-to-end: design, build, test, deploy, and iterate on AI agents and applications shipping to enterprise customers.
• Build agentic systems that plan and act using tools and APIs, with attention to reliability, safety, and observability in production.
• Work across the full stack: React/TypeScript, backend services (Java, Python, or Node), and LLM integration layers.
• Partner with solution consultants, product, and customers to understand the actual problem before writing code.

Qualifications

• ~3 years of professional software engineering, or equivalent demonstrated by shipped products.
• Full-stack fundamentals across frontend, backend, and APIs.
• TypeScript/JavaScript plus Java, Python, or Node.
• Hands-on experience building with LLMs — tool calling, structured outputs, retrieval/RAG, evaluation. Production preferred, serious side projects count.
• Comfortable with agentic patterns: multi-step reasoning, autonomous tool use, structured planning, and the failure modes that come with giving an LLM real agency.
• Working familiarity with AWS — you've deployed and operated services there. Experience with Lambda, ECS/Fargate, Bedrock, or similar is a plus.
• High ownership: you self-start, you ship, you figure things out.
• Fluent in English.

Preferred Qualifications

• Experience in customer service, contact center, or CX domains, especially AI oriented systems like Sierra, Decagon, or Kore.AI.
• Agent orchestration frameworks (LangGraph, CrewAI, or similar) and multi-agent coordination patterns.
• Deeper AWS: Bedrock, Step Functions, SQS/SNS, CDK/Terraform.
• Distributed systems, event-driven architectures, observability.
• Enterprise SaaS experience: multi-tenancy, metering, access control.

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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