Agentic AI Lead

InfoVision Inc.; United States; On-site; USD 180,000 - 240,000; Full time

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

We are seeking a highly experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This role requires deep hands‑on experience with multi‑agent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned to business priorities.

This is a hands‑on technical leadership role, not an execution‑only developer position.

Required Qualification

• 11+ years of experience in AI/ML, data science, or backend engineering, with significant hands‑on work in agentic or GenAI system.
• 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.

Nice to

• Have Experience deploying agentic systems in enterprise or regulated environments.
• Exposure to MLOps, monitoring, and post‑deployment optimization.
• Experience aligning AI system performance with business