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Genai Ccas Application Developer

United States, Gaithersburg 50.00 - 55.00 USD / Hour · Job Posted July 05, 2026
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Job Description

An opportunity is available for an early-career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center as a Service (CCAS) platform. This software development role focuses on conversation flow design, Amazon Connect integrations, AI service orchestration, generative AI safety, and the creation of supporting APIs and data pipelines. You will work with senior developers, UI/UX designers, and cloud engineers to implement features that improve customer experience through intelligent automation.

Job Responsibility

  • Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues for voice and chat channels
  • Integrate Lex V2 bots into Amazon Connect flows for call deflection and self-service
  • Enable and configure Contact Lens for real-time and post-contact analytics, transcription, and redaction
  • Configure Amazon Q in Connect for agent assist experiences
  • Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls and embeddings workflows
  • Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers
  • Build retrieval-augmented generation (RAG) pipelines to enhance agent assist and self-service knowledge
  • Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy
  • Contribute to Git-based CI/CD pipelines, code reviews, and documentation
  • Create and monitor CloudWatch dashboards and alarms for key performance metrics

Requirements

  • A Bachelor’s degree in Computer Science, Engineering, or a related field with 2–4 years of relevant experience, or a Master’s degree with 1-2 years of prior relevant experience is required
  • This role requires 2+ years of software development experience with Python, including building and troubleshooting AWS Lambda functions
  • Hands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, and queues is necessary
  • Experience integrating Lex V2 bots with Amazon Connect flows is also required
  • Should have familiarity with conversational AI design, including slot elicitation and error recovery
  • Experience with Infrastructure as Code (CloudFormation) and Git-based CI/CD workflows is required
  • Foundational security knowledge, including least privilege IAM, encryption at rest (KMS), and secure logging, is expected
  • Strong written and verbal communication skills are necessary
  • Candidates must be able to obtain and/or maintain a Public Trust clearance as a condition and continuation of employment

Nice to have

  • Practical exposure to full Amazon Connect deployments, including telephony setup and queue performance optimization
  • Experience with Amazon Q in Connect for agent assist workflows
  • Experience with Amazon Bedrock and prompt engineering
  • Knowledge of Retrieval Augmented Generation (RAG) and vector search with AWS OpenSearch Service
  • Familiarity with AWS WAF, CloudFront, and edge security patterns
  • Observability and analytics skills using CloudWatch, X-Ray, and Athena/Glue
  • Certifications such as AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, or AWS DevOps Engineer

What we offer

  • medical
  • dental
  • vision
  • life
  • disability
  • other insurance plans
  • ESPP (employee stock purchase program)
  • 401K program with company match after 12 months
  • HSA (Health Savings Account on the HDHP plan)
  • SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
  • corporate discount savings program
  • other discounts
  • on-demand training program
  • access to certification prep and library of technical and leadership courses/books/seminars after 6 months
  • certification discounts

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