[Hiring] Agentic AI and NLU Engineer @Genesys

Role Description

Be the one building AI-powered experiences where they matter most. This role is focused on building and improving Virtual Agents and Agentic Agents on Genesys Cloud. You will develop NLU models and perform prompt engineering strategies, as well as review and improve post-launch performance. The work is hands-on and data-driven, involving ongoing analysis of real conversations and continuous tuning of both NLU and prompt performance.

You will also work directly with customers to understand requirements, review performance, and explain improvements. This is a good fit for someone who enjoys working deeply with language data, refining models and prompts through iteration, and directly impacting how well automated systems perform in production.

Key Responsibilities:

• Agentic VA Configuration and Tuning
  • Design and develop prompts for Agentic Virtual Agents to drive task completion
  • Structure prompts to ensure proper grounding, tool/API usage, and response consistency
  • Analyze failures in LLM-driven interactions and identify root causes (prompt, orchestration, or data issues)
  • Iteratively refine prompts to improve reliability, edge-case handling, and user experience
  • Evaluate end-to-end performance across NLU and LLM layers, implementing optimizations
  • Establish and apply evaluation frameworks for continuous improvement of agentic systems
• NLU Development
  • Design and build NLU models (intents, entities, utterances) aligned to real user behavior and business use cases
  • Define intent taxonomy and entity structures to ensure scalability and maintainability
  • Create and curate high-quality training data to maximize coverage and accuracy
• NLU Analysis and Tuning
  • Analyze conversation logs to identify misclassifications, false positives, gaps, and edge cases
  • Perform post-launch tuning of NLU models through updates to training data, intent structure, and entity recognition
  • Create and execute scripts to aid in analysis and application of updates to NLU models
  • Measure and track NLU performance using defined evaluation metrics and test sets

Qualifications

• Master's degree in Computer Science, Data Science, Machine Learning or related technical field
• 3-5 years of experience working with conversational AI, generative AI, or related language technologies
• Experience with Python and NodeJS for data preparation, analysis, evaluation, and tuning
• Experience with Genesys Cloud, other CCaaS or conversational AI platforms
• Comfortable presenting findings, recommendations and performance improvements to customers
• Comfortable working independently while collaborating with cross-functional teams
• Fluency in Spanish or French is an asset

Requirements

• Market-competitive salary with an anticipated base compensation range of $110,600.00 - $194,400.00
• Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location
• This role might also be eligible for a commission or performance-based bonus opportunities

Benefits

• Medical, Dental, and Vision Insurance
• Telehealth coverage
• Flexible work schedules and work from home opportunities
• Development and career growth opportunities
• Open Time Off in addition to 10 paid holidays
• 401(k) matching program
• Adoption Assistance
• Fertility treatments