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. The Innovations team at Genesys builds applications and agents on top of Genesys Cloud and ships them to enterprise customers through App Foundry. Think industry-specific agents built on the platform's agentic virtual agent capabilities, compliance tools, complementary platform integrations— products that businesses use to orchestrate customer experiences every day. We're a team that operates more like a product studio than a traditional engineering org. 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. Example projects · 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. Required 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. #LI-MC1 Working at Genesys AI at enterprise scale – Build, support and operate AI-powered technology used by more

Full Stack szoftvermérnök - Agentic AI