Voice AI Engineer

• 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 stable 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 dont 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