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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Full Stack - **Company:** Genesys Telecommunications Laboratories, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $115,500.0 - $203,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Customer Interaction Management (Software), Distributed Systems, Python (Programming Language), Node.Js, Software Engineering, TypeScript, ReactJS, Large Language Models, Backend, Event Driven Architecture, Build Management, Infrastructure Automation Frameworks, Low Latency, AWS Fargate, Front End Software Development, Api Design, Amazon Simple Queue Service (SQS), Terraform - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/36ead5ba-8789-4c32-a88f-c7878f13d123 ## About the Role * Approximately 5 or more years of professional software engineering experience, or equivalent demonstrated through shipped products * Strong full stack development foundation across frontend, backend, and API design using TypeScript or JavaScript and one of Java, Python, or Node * Hands on experience building with large language models, including tool calling, structured outputs, retrieval augmented generation, and evaluation techniques * Familiarity with agentic system design, including multi step reasoning, autonomous tool usage, planning structures, and associated failure modes * Experience deploying and operating services in AWS environments, with working knowledge of services such as Lambda, ECS, Fargate, or similar * Demonstrated ownership mindset with the ability to self direct, execute, and deliver results in ambiguous environments Preferred Qualifications: * Experience in customer experience, contact center technologies, or AI driven CX platforms * Familiarity with agent orchestration frameworks such as LangGraph, CrewAI, or similar multi agent coordination approaches * Deeper experience with AWS services including Bedrock, Step Functions, SQS, SNS, or infrastructure as code tools such as CDK or Terraform * Background in distributed systems, event driven architectures, and observability practices * Experience building or operating enterprise SaaS platforms, including multi tenancy, access control, and usage metering ## Description * Own end to end delivery of AI driven features, from problem framing through design, development, deployment, and continuous iteration in production * Design and build agentic systems that plan, reason, and act using tools and APIs, improving reliability, safety, and observability of LLM powered applications * Develop full stack solutions across React and TypeScript frontends, backend services, and LLM integration layers to deliver cohesive user and system experiences * Translate ambiguous customer problems into scalable product solutions by partnering with product, solution consultants, and enterprise stakeholders * Build and enhance evaluation frameworks that measure quality, cost, latency, and robustness of AI systems under real world conditions * Drive experimentation cycles by rapidly prototyping, testing hypotheses, and iterating based on measurable outcomes, * 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. ## Related Videos - [Stop using Node.js like in 2020! 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