Job Title: Voice AI Agent Engineer

Experience: 3+ years

Employment Type: Full-time Remote

Company: Shuru Tech

Website: https://shurutech.com/

LinkedIn: https://www.linkedin.com/company/shurutech/

Project

For a US insurance organization, own a production voice AI agent end to end: keep it secure through incident and transcript-driven tuning, redesign it from scripted verification plus Q&A; into a fully agentic, lower-latency conversation, and ship every release through automated quality gates, PII/PHI safeguards, governed Azure DevOps pipelines, and active monitoring of performance and cost.

Must-have skills (please screen for these first)

Has built and launched at least one LLM app used by real customers or employees. Demos and proofs of concept don't count. Strong in prompt engineering, tool calling, structured output, and RAG.

Hands-on with Amazon Connect and Amazon Lex V2: contact flows, Lambda integrations, intents and slots

Amazon Bedrock or a comparable managed LLM service: knowledge bases, agents, guardrails





Has built evaluation suites for LLM output (golden answers, LLM-as-judge, or similar)

Strong Python, plus AWS core services: Lambda, IAM, DynamoDB, S3, CloudWatch, KMS

Has worked with sensitive data in a regulated industry (insurance, healthcare, or financial services) under formal change control

Strongly preferred

Voice AI experience, such as ElevenLabs or similar text-to-speech and speech-to-text tools, and reducing latency in real-time voice apps

Agentic orchestration: Bedrock Agents or Flows, Step Functions, EventBridge, SQS/SNS

Terraform, or CDK/CloudFormation

Azure DevOps, including YAML pipelines with AWS service connections

Java (Spring Boot) or TypeScript/Node

Nice to have

Contact Lens, Amazon Q in Connect, Kinesis

Vector stores such as OpenSearch Serverless or pgvector

Datadog

Insurance or benefits domain background

📌 Voice AI Engineer (India)
🏢 Shuru
📍 India