<p>We are looking for a skilled GenAI Application Developer to join our 100% remote team. In this role, you will focus on creating and maintaining software applications while utilizing industry-standard frameworks. This is a Long-term Contract position that offers the opportunity to work on moderately complex projects and collaborate with technical teams to deliver impactful solutions.</p><p><br></p><p>Amazon Connect application development and configuration: </p><ul><li>Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.</li><li>Integrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.</li><li>Enable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.</li><li>Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.</li><li>Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.</li></ul><p>AI orchestration and backend services: </p><ul><li>Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.</li><li>Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.</li><li>Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.</li><li>Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards.</li></ul><p>Data safety and compliance: </p><ul><li>Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy.</li><li>Enforce PII minimization and redaction policies in Amazon Connect conversation logs.</li><li>Participate in threat modeling and support remediation of findings for contact center integrations.</li></ul><p>Web and chat integration: </p><ul><li>Support CloudFront + WAF configurations for secure web chat entry points.</li><li>Build APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.</li><li>DevSecOps and operations: </li><li>Contribute to Git-based CI/CD pipelines, code reviews, and documentation.</li><li>Maintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows.</li><li>Create and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics.</li></ul><p><br></p>

<p>Basic Qualifications</p><ul><li>Bachelor’s degree in Computer Science, Engineering, or related field and 2–4 years of relevant experience; or a Master’s with</li><li>2+ years of software development with Python, including building and troubleshooting AWS Lambda functions.</li><li>Hands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).</li><li>Experience integrating Lex V2 bots with Amazon Connect flows.</li><li>Familiarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns.</li><li>Infrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows.</li><li>Foundational security knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring.</li><li>Strong written and verbal communication; able to document designs and explain technical choices to teammates.</li><li>Ability to obtain a Public Trust clearance.</li></ul><p> </p><p>Preferred Qualifications</p><ul><li>Practical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization.</li><li>Experience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring.</li><li>Experience with Amazon Q in Connect for agent assist workflows and knowledge retrieval.</li><li>Experience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering.</li><li>Knowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices.</li><li>Familiarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points).</li><li>Experience with AWS WAF, CloudFront, and edge security patterns.</li><li>Observability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue.</li><li>Understanding of privacy/compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers.</li><li>Certifications (any of): AWS Developer Associate, AWS Solutions Architect Associate, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP</li></ul>

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