AWS Connect Engineer

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Weekday (YC W21)

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Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

📋 Description

• Architect, develop, and enhance AI-powered contact center solutions using Amazon Connect. • Integrate Databricks Lakehouse with Connect and AI services to enable: • - Real-time agent assistance and contextual insights • - Automated decision-making workflows • - Advanced analytics and post-interaction intelligence • Build and optimize core components including: • - Amazon Connect Contact Flows • - Lex V2 conversational bots • - Lambda-based orchestration • - Agent assist and workflow automation capabilities • Implement inference pipelines for sentiment analysis, compliance detection, risk scoring, and QA. • Utilize LLM-based voice and chat agents to automate end-to-end customer interactions. • Deploy infrastructure using Infrastructure-as-Code (CDK, Terraform, or CloudFormation). • Monitor and continuously improve contact center KPIs such as AHT, CSAT, NPS, and QA metrics. • Collaborate with Product, Operations, and Data Engineering teams to deliver measurable business outcomes.

🎯 Requirements

• 3+ years of hands-on experience with Amazon Connect engineering and contact center workflow development. • Strong experience with: • - AWS Lex, Lambda, S3, DynamoDB • - Kinesis, SQS, and event-driven architecture • - AI/ML inference within AWS environments • Practical experience with Databricks Lakehouse, including Delta Lake read/write pipelines. • PySpark or Spark SQL for data transformation and processing. • Strong programming skills in Python or Node.js. • Comfort working with streaming data, JSON event structures, and data quality best practices.