Principal AI Engineer: Lead Enterprise Agentic Systems

IMR Soft LLC

New York (NY)

On-site

USD 180,000 - 260,000

Full time

2 hours ago
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Job summary

IMR Soft LLC in New York City is seeking a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on role focused on designing and shipping autonomous, tool-calling AI systems that reason over enterprise context and operate at scale.

You will own data pipelines, backend services, the agent orchestration layer, evaluation harness, and the cloud infra they run on.

Qualifications

  • 8–14 years of software engineering experience.
  • Hands-on Python development.
  • Experience with APIs, microservices, and system design.

Responsibilities

  • Design and build agentic systems: lead architecture and implementation of tool-calling agents.
  • Productionize LLM applications: retrieval pipelines, prompt synthesis, validation, and self-correction loops.
  • Own the full stack: data pipelines, backend services, orchestration, and distributed compute.
  • Engineer for reliability and governance: validators, policy checks, deterministic fallbacks, and rollbacks.
  • Optimize for cost and latency: improve token efficiency and response time.
  • Codebase ownership: develop reusable Python/SQL components with scalability in mind.
  • Cloud integration: deploy on AWS/Azure/GCP with robust CI/CD.
  • Cross-functional collaboration: work with product owners, data scientists, and SMEs.
  • Mentoring and leadership: set engineering standards and share knowledge.

Skills

Python
Systems programming
Data structures & algorithms
APIs & microservices
Distributed systems
Problem solving
Cross-team collaboration

Tools

LangGraph
Google ADK
CrewAI
Claude Agent SDK
Milvus
Pinecone
Weaviate
FAISS

Job description

IMR Soft LLC in New York City is seeking a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on role focused on designing and shipping autonomous, tool-calling AI systems that reason over enterprise context and operate at scale.

You will own data pipelines, backend services, the agent orchestration layer, evaluation harness, and the cloud infra they run on.

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