Senior Agentic AI Lead & Architect

InfoVision Inc.

United States

On-site

USD 180,000 - 240,000

Full time

9 hours ago
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Job summary

InfoVision Inc. seeks an experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This is a hands-on technical leadership role, not merely an execution‑only position.

You will lead architecture and product integration, drive evaluation methodologies, and ensure AI system performance aligns with business priorities. Strong background in multi-agent architectures and prompt engineering is essential.

Qualifications

  • 11+ years of experience in AI/ML, data science, or backend engineering, with significant hands-on work in agentic or GenAI systems.
  • Proven experience building production-grade agentic AI systems, not just prototypes or demos.
  • Strong understanding of Multi-agent architectures.
  • Prompt engineering and agent orchestration.
  • Evaluation methodologies for LLM and agentic systems.
  • Demonstrated ability to make independent architectural and model decisions.
  • Strong SQL skills for data analysis and debugging.
  • Proficiency in Python and modern AI/ML tooling.

Responsibilities

  • Design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases.
  • Provide hands-on technical leadership and architectural guidance to teams.
  • Continuously improve AI system performance aligned to business priorities.

Skills

Agentic AI
Multi-agent architectures
Prompt engineering
LLM evaluation
Architectural decisions
SQL

Tools

Python
SQL
MLOps tooling

Job description

InfoVision Inc. seeks an experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This is a hands-on technical leadership role, not merely an execution‑only position.

You will lead architecture and product integration, drive evaluation methodologies, and ensure AI system performance aligns with business priorities. Strong background in multi-agent architectures and prompt engineering is essential.

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