Generative AI Software Engineer

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. The role involves building and scaling next-generation generative AI applications that enhance customer experiences worldwide, focusing on AI innovation and software engineering.

Responsibilities:

• Design, develop, and deploy production-ready generative AI applications using Python and AWS Bedrock
• Implement advanced prompt engineering, model fine-tuning, and retrieval-augmented generation (RAG) workflows
• Integrate LLMs into SaaS applications to enhance automation, customer support, and analytics
• Collaborate with DevOps engineers to architect and manage AWS-based infrastructure for cloud contact center solutions
• Automate deployments and implement CI/CD best practices to ensure reliability and scalability
• Ensure AI and cloud environments meet security, governance, and compliance standards
• Develop responsive web interfaces using ReactJS and NodeJS targeting AWS Lambda and containerized services
• Troubleshoot and optimize AI-driven applications and infrastructure for performance and cost efficiency

Requirements:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
• Must be fully authorized to work in the United States now and in the future without the need for visa sponsorship
• 4+ years of full-stack software development experience using Python, NodeJS, and ReactJS
• 2+ years of hands-on experience developing and deploying generative AI or LLM-based applications
• Direct experience with models such as OpenAI GPT (ChatGPT), Anthropic Claude, Google Gemini, or Hugging Face Transformers
• Proficiency with AWS services (Bedrock, Lambda, ECS, S3, IAM, CloudFormation)
• Strong understanding of vector databases, embeddings, and RAG pipelines
• Familiarity with containerization technologies such as Docker or Kubernetes
• Proven ability to design scalable architectures for AI workloads in cloud environments
• Experience with CI/CD, automated testing, and modern DevOps practices
• Excellent analytical and problem-solving skills, with strong attention to code quality and maintainability
• Experience integrating generative AI applications into enterprise SaaS or contact center platforms
• Exposure to customer-facing deployments or professional services environments
• Familiarity with Genesys APIs, conversational AI, or agent-assist solutions
• Interest in rapid prototyping, experimentation, and emerging AI model capabilities