AI Engineer: Build Production-Ready AI Agents

Levi & Korsinsky, LLP

New York (NY)

On-site

USD 110,000 - 150,000

Full time

2 days ago
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Benefits offered by this job

Health, dental, and vision insurance
401(k)
Paid time off
Firm holidays
Bonus opportunities

Job summary

Levi & Korsinsky, LLP is seeking a Forward Deployed AI Engineer to work with leadership and internal teams, turning prototypes into robust production systems. You will understand business workflows, design architecture, and code key components, partnering across the firm to deliver measurable AI-enabled solutions.

The role blends business insight with hands-on engineering: building production-ready agents, evaluating tools, and integrating AI into existing case-management and data workflows,

Qualifications

  • 5+ years in software engineering or technical product development.
  • Experience delivering production apps end-to-end.
  • Hands-on with LLM-powered apps, AI agents, tool calls or RAG.
  • Strong API, database, cloud infra, auth, and system design knowledge.
  • Adaptable to evolving requirements from experimentation.

Responsibilities

  • Embed with leadership to map how the business uses tech.
  • Prototype to deployment: discovery through production.
  • Evaluate AI tools and prototypes for improvement.
  • Design and build production-ready AI agents and full-stack apps.
  • Integrate AI systems with existing apps, APIs, databases.

Skills

Software engineering
End-to-end delivery
LLM systems
APIs & cloud
Product thinking
Communication

Job description

Levi & Korsinsky, LLP is seeking a Forward Deployed AI Engineer to work with leadership and internal teams, turning prototypes into robust production systems. You will understand business workflows, design architecture, and code key components, partnering across the firm to deliver measurable AI-enabled solutions.

The role blends business insight with hands-on engineering: building production-ready agents, evaluating tools, and integrating AI into existing case-management and data workflows,

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