Voice AI Engineer

🔥 54 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Shuru

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.

📋 Description

• Own and improve a production Voice AI / LLM application for a US insurance organization. • 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. • Move scripted flows toward agentic conversations and ensure secure, governed production releases.

🎯 Requirements

• Production LLM application experience. • 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.

🏖️ Benefits

• 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.