{"schemaVersion":"jobsearcher.job.v1","id":"41ea7ef045e9095f4aeb63c6","url":"https://jobsearcher.com/jobs/41ea7ef045e9095f4aeb63c6","canonicalUrl":"https://jobsearcher.com/jobs/41ea7ef045e9095f4aeb63c6","title":"GENAI CCAS Application Developer - Remote","description":"#Eng-IT-01\n\nJob Summary\nWe are seeking an early-career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service (CCAS) platform using Amazon Connect, Lex V2, Amazon Q in Connect, Contact Lens, Bedrock, OpenSearch, and Lambda (Python). 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 to improve customer experience through intelligent automation. You will collaborate with senior developers, UI/UX designers, and cloud engineers to implement features that deflect customer contacts with voice/chat bots, optimize routing and flows, provide agents with real-time AI assistance, and ensure privacy/compliance controls. This is an exciting opportunity to grow your development skills while delivering secure, reliable, and innovative solutions in a mission environment.\nPrimary Responsibilities\nAmazon Connect Application Development and Configuration:\nBuild, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.\nIntegrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.\nEnable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.\nConfigure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.\nImplement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.\nAI Orchestration and Backend Services:\nWrite AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.\nImplement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.\nBuild retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.\nApply structured logging, unit/integration tests, error handling, and performance/cost safeguards.\nData Safety and Compliance:\nImplement AI guardrails, prompt templates, and output evaluation for safety and accuracy.\nEnforce PII minimization and redaction policies in Amazon Connect conversation logs.\nParticipate in threat modeling and support remediation of findings for contact center integrations.\nWeb and Chat Integration:\nSupport CloudFront WAF configurations for secure web chat entry points.\nBuild APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.\nDevSecOps and Operations:\nContribute to Git-based CI/CD pipelines, code reviews, and documentation.\nMaintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows.\nCreate and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics.\nBasic Qualifications\nBachelor’s degree in Computer Science, Engineering, or related field and 2–4 years of relevant experience; or a Master’s degree with 2 years of software development experience with Python, including building and troubleshooting AWS Lambda functions.\nHands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).\nExperience integrating Lex V2 bots with Amazon Connect flows.\nFamiliarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns.\nInfrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows.\nFoundational security knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring.\nStrong written and verbal communication skills; able to document designs and explain technical choices to teammates.\nUS Citizen with the ability to obtain a Public Trust clearance.\nPreferred Qualifications\nPractical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization.\nExperience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring.\nExperience with Amazon Q in Connect for agent assist workflows and knowledge retrieval.\nExperience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering.\nKnowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices.\nFamiliarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points).\nExperience with AWS WAF, CloudFront, and edge security patterns.\nObservability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue.\nUnderstanding of privacy/compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers.\nCertifications (any of): AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP.\nSchedule\nThis is a remote position with quarterly meetings.\n\nBenefits\nPEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan. PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.\nEqual Opportunity Employer (EEO)\nPEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply.\nAmericans Disabilities Act (ADA)\nThe physical and mental requirements described in this job description are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Must be able to perform the essential physical functions of the position, including sitting, standing, walking, stooping, kneeling, and lifting up to 25 pounds, with or without reasonable accommodation.\nCandidate Privacy\nTo read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://peaktechnical.com/privacy-policy/ and https://peaktechnical.com/ca-residents-privacy-rights/\nAI Recruiting Disclosure\nWe use AI-assisted tools to help review applications and compare your experience to job requirements, but all hiring decisions are made by human recruiters. You may request a human-only process or opt out of automated communication at any time. Required notices and our latest bias audit are available on our website: www.peaktechnical.com/ai-disclosure.","company":"Peak Technical Services","rawCompany":"peak technical services","city":"Washington","state":"DC","isRemote":true,"isActive":false,"createdAt":"2026-08-05T15:13:04.186Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GENAI CCAS Application Developer - Remote","description":"#Eng-IT-01\n\nJob Summary\nWe are seeking an early-career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service (CCAS) platform using Amazon Connect, Lex V2, Amazon Q in Connect, Contact Lens, Bedrock, OpenSearch, and Lambda (Python). 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 to improve customer experience through intelligent automation. You will collaborate with senior developers, UI/UX designers, and cloud engineers to implement features that deflect customer contacts with voice/chat bots, optimize routing and flows, provide agents with real-time AI assistance, and ensure privacy/compliance controls. This is an exciting opportunity to grow your development skills while delivering secure, reliable, and innovative solutions in a mission environment.\nPrimary Responsibilities\nAmazon Connect Application Development and Configuration:\nBuild, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.\nIntegrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.\nEnable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.\nConfigure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.\nImplement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.\nAI Orchestration and Backend Services:\nWrite AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.\nImplement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.\nBuild retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.\nApply structured logging, unit/integration tests, error handling, and performance/cost safeguards.\nData Safety and Compliance:\nImplement AI guardrails, prompt templates, and output evaluation for safety and accuracy.\nEnforce PII minimization and redaction policies in Amazon Connect conversation logs.\nParticipate in threat modeling and support remediation of findings for contact center integrations.\nWeb and Chat Integration:\nSupport CloudFront WAF configurations for secure web chat entry points.\nBuild APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.\nDevSecOps and Operations:\nContribute to Git-based CI/CD pipelines, code reviews, and documentation.\nMaintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows.\nCreate and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics.\nBasic Qualifications\nBachelor’s degree in Computer Science, Engineering, or related field and 2–4 years of relevant experience; or a Master’s degree with 2 years of software development experience with Python, including building and troubleshooting AWS Lambda functions.\nHands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).\nExperience integrating Lex V2 bots with Amazon Connect flows.\nFamiliarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns.\nInfrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows.\nFoundational security knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring.\nStrong written and verbal communication skills; able to document designs and explain technical choices to teammates.\nUS Citizen with the ability to obtain a Public Trust clearance.\nPreferred Qualifications\nPractical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization.\nExperience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring.\nExperience with Amazon Q in Connect for agent assist workflows and knowledge retrieval.\nExperience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering.\nKnowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices.\nFamiliarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points).\nExperience with AWS WAF, CloudFront, and edge security patterns.\nObservability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue.\nUnderstanding of privacy/compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers.\nCertifications (any of): AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP.\nSchedule\nThis is a remote position with quarterly meetings.\n\nBenefits\nPEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan. PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.\nEqual Opportunity Employer (EEO)\nPEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply.\nAmericans Disabilities Act (ADA)\nThe physical and mental requirements described in this job description are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Must be able to perform the essential physical functions of the position, including sitting, standing, walking, stooping, kneeling, and lifting up to 25 pounds, with or without reasonable accommodation.\nCandidate Privacy\nTo read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://peaktechnical.com/privacy-policy/ and https://peaktechnical.com/ca-residents-privacy-rights/\nAI Recruiting Disclosure\nWe use AI-assisted tools to help review applications and compare your experience to job requirements, but all hiring decisions are made by human recruiters. You may request a human-only process or opt out of automated communication at any time. Required notices and our latest bias audit are available on our website: www.peaktechnical.com/ai-disclosure.","datePosted":"2026-08-05T15:13:04.186Z","dateModified":"2026-08-05T15:13:04.186Z","hiringOrganization":{"@type":"Organization","name":"Peak Technical Services","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"41ea7ef045e9095f4aeb63c6"},"url":"https://jobsearcher.com/jobs/41ea7ef045e9095f4aeb63c6"}}