Senior Agentic AI Engineer — Production LLM & Voice Systems

Insaito Software

United States

Remote

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Insaito Software is seeking a Senior hands‑on Agentic AI Engineer to design, build, and deploy production AI capabilities within its core platform. This delivery‑focused role leads from architecture to production, focusing on voice‑driven and agentic workflows and establishing AI engineering best practices across the organization.

The ideal candidate has proven experience building and operating AI systems in production and can own features end‑to‑end, from architecture through production

Qualifications

  • 7+ years of software engineering experience.
  • Proven track record deploying production AI systems.
  • Deep expertise with LLMs, agentic AI architectures, NLP and Claude.

Responsibilities

  • Design and build production‑grade AI solutions powered by LLMs, AI agents, and conversational AI.
  • Architect and implement AI infrastructure, orchestration layers, and evaluation frameworks.
  • Build scalable backend services and AI pipelines on AWS.
  • Integrate Claude and other LLM technologies into enterprise applications.
  • Establish AI quality metrics, testing frameworks, observability, and continuous improvement processes.
  • Collaborate with product and engineering teams to embed AI capabilities into existing products.
  • Mentor engineers through hands‑on leadership and technical execution; champion agentic practices.

Skills

LLMs
Agentic AI architectures
NLP & conversational AI
Claude
Voice AI
AWS
Python
Backend engineering
AI infrastructure
Production AI systems

Job description

Insaito Software is seeking a Senior hands‑on Agentic AI Engineer to design, build, and deploy production AI capabilities within its core platform. This delivery‑focused role leads from architecture to production, focusing on voice‑driven and agentic workflows and establishing AI engineering best practices across the organization.

The ideal candidate has proven experience building and operating AI systems in production and can own features end‑to‑end, from architecture through production

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