Lex Senior Developer/Technical Lead

Connex Telecommunications Inc.Richmond Hill, ON

About The Position

We are looking for a Lex Senior Developer/Technical Lead. This role involves building enterprise-grade Amazon Lex bots, designing conversational experiences, integrating with AWS services, and leading a development team. The focus is on creating scalable, high-performing, and multilingual conversational AI solutions.

Requirements

  • 6 to 10 years of software development experience.
  • Minimum 3 years of hands-on Amazon Lex V2 development experience.
  • Minimum 3 years of experience integrating Amazon Lex with Amazon Connect.
  • Strong experience designing and developing AWS serverless architectures.
  • Experience leading developers while remaining actively involved in technical delivery.
  • Amazon Lex V2
  • Intent and slot modelling
  • Custom slot types
  • Dialog management
  • Session attributes
  • AWS Lambda code hooks
  • Prompt variations
  • DTMF integration
  • Confidence-score tuning
  • Multilingual bot development
  • AWS Lambda
  • Amazon DynamoDB
  • Amazon API Gateway
  • Amazon Connect

Nice To Haves

  • AWS Associate-level or Professional-level certification is preferred.
  • Amazon Bedrock experience is preferred
  • Intent classification
  • Entity recognition
  • Prompt engineering
  • Conversational design
  • Natural language processing and natural language understanding concepts
  • Generative AI fundamentals
  • Amazon Bedrock

Responsibilities

  • Build enterprise-grade Amazon Lex bots from requirements gathering through production deployment.
  • Design high-performing voice and chat conversational experiences.
  • Integrate Amazon Lex with Amazon Connect and AWS serverless services.
  • Analyze production conversations to improve intent recognition, bot performance, and customer experience.
  • Lead a small development team while remaining hands-on with coding, troubleshooting, testing, and optimization.
  • Create scalable intent models, custom slot types, prompts, and dialog-management strategies.
  • Optimize natural language understanding performance through continuous tuning based on production traffic and conversation data.
  • Develop multilingual conversational experiences, with English and French experience preferred.
  • Design robust fallback, clarification, interruption, escalation, and error-handling strategies.
  • Apply conversational design and prompt-engineering principles to improve customer interactions.
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