The right talent can transform your business—and we make that happen. At Collabera, we go beyond staffing to deliver strategic workforce solutions that drive growth, innovation, and agility. With deep industry expertise, a global talent network, and a people-first approach, we connect you with professionals who don’t just fit the role but elevate your business. Partner with us and build a workforce that powers success.
Software Engineer
Contract: Gaithersburg, Virginia, US
Salary Range: 55.00 - 58.00 | Per Hour
Job Code: 368355
End Date: 2026-04-29
Days Left: 26 days, 11 hours left
Job Description:
Title: GENAI CCAS Application Developer
Location: Remote (Quarterly Travel to Gaithersburg, MD)
Duration: 6 months
Pay range: $55 to $59/hr
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.
Pay range: $55 to $59/hr
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.
- opening for an early career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service (CCAS) platform that uses Amz Connect, Lex V2, Amz Q in Connect, Contact Lens, Bedrock, OpenSearch, and Lambda (Python). This is a software development role focused on conversation flow design, Amz 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 work 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.
Primary Responsibilities:
Amz Connect application development and configuration:
-
Build, update, and maintain Amz Connect contact flows, routing profiles, and queues to support both voice and chat channels.
-
Integrate Lex V2 bots into Amz 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 Amz 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.
AI orchestration and backend services:
-
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 Amz Connect agent assist and self-service knowledge.
-
Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards.
Data safety and compliance:
-
Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy.
-
Enforce PII minimization and redaction policies in Amz Connect conversation logs.
-
Participate in threat modeling and support remediation of findings for contact center integrations.
Web and chat integration:
-
Support CloudFront + WAF configurations for secure web chat entry points.
-
Build APIs and event hooks to pass conversation context between web chat, Amz Connect, and AI services.
DevSecOps and operations:
-
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.
Basic Qualifications:
-
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 Amz Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).
-
Experience integrating Lex V2 bots with Amz 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 Qualifications:
-
Practical exposure to full Amz 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 Amz Q in Connect for agent assist workflows and knowledge retrieval.
-
Experience with Amz 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.
Job Requirement
- Lex V2
- AWS connect
Reach Out to a Recruiter
- Recruiter
- Phone
- Varnit Patel
- varnit.patel@collabera.com
Apply Now
Apply Now
