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Weekday AI (YC W21)
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AWS Connect Engineer

AWS Connect Engineer

Weekday AI (YC W21)

3 years

0 Lacs

india

Posted:2 days ago| Platform:

Apply

Skills Required

aws connect ai automation databricks data analytics power orchestration workflow inference analysis compliance risk scoring chat automate code terraform metrics engineering development dynamodb sqs architecture ml pyspark spark sql processing programming python node.js json

Work Mode

Remote

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 3 yearsLocation: Remote (India)JobType: full-timeJoin a rapidly growing platform team that is transforming customer experience through AI-driven automation. This role focuses on building and optimizing intelligent contact center workflows using

Amazon Connect

, tightly integrated with a

Databricks-based enterprise data lake

. You will play a key role in developing voice LLM agents, real-time analytics pipelines, and automated decisioning systems that power customer care, collections, agent performance, and operational intelligence.

Requirements

Key Responsibilities

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.

Required Qualifications

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.

Nice-to-Have

Experience within collections, customer care, or contact center automation.
Exposure to RAG pipelines, LLM integrations, and real-time AI agents.
Knowledge of vector databases such as Pinecone, FAISS, or Milvus.
Familiarity with regulatory frameworks like PCI, SOC2, and HIPAA.

Skills

Python

PySpark
AWS Lambda
AWS Lex
Amazon Connect
DynamoDB
Kinesis
Amazon SQS
Databricks
AI/ML
Delta Lake
Node.js
Terraform / CDK / CloudFormation

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AWS Connect Engineer