Lead AI Agent Architect - Multimodal & Production Systems

ChaiOne

Houston (TX)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Growth opportunities
Leadership growth through mentoring

Job summary

A technology firm is seeking a Lead AI Engineer to design and implement AI agent systems, optimizing them for production readiness and reliability. The candidate will be responsible for developing workflows using LLMs, managing integrations with backend systems, and overseeing the design of voice agents and multimodal workflows. Candidates are expected to have over 6 years of experience in software engineering with a strong focus on applied AI, as well as expertise in AI APIs and production systems. This is a remote/hybrid position with competitive compensation.

Qualifications

  • 6+ years of experience in software engineering, focusing on applied AI systems.
  • Strong experience working with LLMs and AI APIs (OpenAI, Anthropic, etc.).
  • Proven experience building production AI systems, operational reliability, and scalability.

Responsibilities

  • Design and implement scalable AI agent architectures.
  • Lead prompt strategy across models like GPT-4.
  • Integrate AI agents with backend systems and ensure reliability.

Skills

Experience in software engineering
Working with LLMs and AI APIs
Building production AI systems
Excellent communication skills
Experience with APIs and backend integrations

Tools

n8n
LangChain
LangGraph
AutoGen
Zapier

Job description

A technology firm is seeking a Lead AI Engineer to design and implement AI agent systems, optimizing them for production readiness and reliability. The candidate will be responsible for developing workflows using LLMs, managing integrations with backend systems, and overseeing the design of voice agents and multimodal workflows. Candidates are expected to have over 6 years of experience in software engineering with a strong focus on applied AI, as well as expertise in AI APIs and production systems. This is a remote/hybrid position with competitive compensation.
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