GenAI Application Developer jobs in United States
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System One · 6 hours ago

GenAI Application Developer

System One is a leader in delivering outsourced services and workforce solutions across North America. They are seeking an early career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service platform, focusing on conversation flow design, AI service orchestration, and improving customer experience through intelligent automation.

Staffing Agency
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Responsibilities

Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels
Integrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation
Enable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction
Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences
Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance
Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging
Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers
Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge
Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards
Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy
Enforce PII minimization and redaction policies in Amazon Connect conversation logs
Participate in threat modeling and support remediation of findings for contact center integrations
Support CloudFront + WAF configurations for secure web chat entry points
Build APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services
Contribute to Git-based CI/CD pipelines, code reviews, and documentation
Maintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows
Create and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics

Qualification

AWS Lambda (Python)Amazon ConnectLex V2 integrationAI orchestrationInfrastructure as CodeCloudFormationGit-based CI/CDData safety complianceConversational AI designObservability skillsPrivacy considerationsCertificationsCommunication

Required

Bachelor's degree in Computer Science, Engineering, or related field and 2–4 years of relevant experience; or a Master's with 2+ years of software development with Python, including building and troubleshooting AWS Lambda functions
Hands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat)
Experience integrating Lex V2 bots with Amazon Connect flows
Familiarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns
Infrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows
Foundational security knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring
Strong written and verbal communication; able to document designs and explain technical choices to teammates

Preferred

Practical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization
Experience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring
Experience with Amazon Q in Connect for agent assist workflows and knowledge retrieval
Experience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering
Knowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices
Familiarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points)
Experience with AWS WAF, CloudFront, and edge security patterns
Observability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue
Understanding of privacy/compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers
Certifications (any of): AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP

Benefits

Health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

Company

System One

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System One is a professional staffing firms.

Funding

Current Stage
Late Stage
Total Funding
$301.8M
Key Investors
TruistOaktree Capital ManagementProspect Capital Corporation
2021-01-28Debt Financing· $290M
2020-12-08Private Equity
2016-09-20Acquired

Leadership Team

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Troy Gregory
Chief Executive Officer
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Dan Moran
Chief Financial Officer
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Company data provided by crunchbase