Voice AI Engineer

Shuru Technologies PTE Ltd; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Shuru Technologies Private Limited is seeking a Senior Voice AI / LLM Engineer to own and improve a production Voice AI agent for a US insurance organization. You will work with Amazon Connect, Lex V2, and Bedrock to reduce latency and improve reliability, while enforcing PII/PHI safeguards and governance.

You will design agentic workflows, build evaluation suites, and lead architecture decisions in a remote-first, collaborative environment with opportunities for leadership and career growth.

Qualifications

• Proven ability to build and productionize Voice AI / LLM solutions.
• Experience with prompt engineering, tool-calling, RAG and structured outputs.
• Strong Python development skills and AWS services experience.

Responsibilities

• Own and improve a production Voice AI / LLM application.
• Build agentic workflows using prompts, tool calling, structured outputs, and RAG.
• Work hands-on with Amazon Connect, Lex V2, and Bedrock.
• Build LLM evaluation suites and automated quality gates.
• Improve voice latency, reliability, and production performance.
• Implement PII/PHI safeguards and monitor quality and cost.

Skills

Prompt engineering

LLM evaluation

Strong Python

Tools

Amazon Connect

Amazon Lex V2

Amazon Bedrock

AWS Lambda

IAM

DynamoDB

S3

CloudWatch

KMS

Job description

Shuru Technologies Private Limited | Full time

Shuru is an AI-native technology and engineering services company helping businesses build and scale high-impact products and AI solutions.

Role Overview

We are looking for a Senior Voice AI / LLM Engineer to own and improve a production Voice AI agent for a US insurance organization. The role involves improving reliability, reducing latency, moving scripted flows toward agentic conversations, and ensuring secure, governed production releases.

Key Responsibilities

• Own and improve a production Voice AI / LLM application.
  
• Build agentic workflows using prompts, tool calling, structured outputs, and RAG.
  
• Work hands-on with Amazon Connect, Lex V2, and Bedrock.
  
• Build LLM evaluation suites and automated quality gates.
  
• Improve voice latency, reliability, and production performance.
  
• Implement PII/PHI safeguards and monitor quality and cost.
  

Requirements

• Prompt Engineering, Tool Calling, RAG, Structured Outputs.
• Amazon Connect and Amazon Lex V2.
• Amazon Bedrock or similar managed LLM platforms.
• LLM evaluation frameworks.
• Strong Python.
• AWS Lambda, IAM, DynamoDB, S3, CloudWatch, KMS.
• Experience in regulated environments such as insurance, healthcare, or financial services.
• Work on challenging, large-scale engineering and data problems.
• Work closely with experienced engineering, product, and technology leaders.
• Opportunity to take ownership of architecture and key technical decisions.
• Remote-first and collaborative work environment.
• Strong opportunities for learning, leadership, and career growth.