Senior AI Engineer, Enterprise Agentic Systems

ApTask; New York (NY); On-site; USD 200,000 - 320,000; Full time

Job summary

ApTask is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI deployments for Fortune 500 clients. The role is hands-on, focusing on designing and shipping autonomous, tool-calling AI systems that reason over enterprise data, call real systems securely, and scale with strict latency and governance.

You will own data pipelines, backend services, the orchestration layer, evaluation harness, and the cloud infra, with a track record of taking agentic systems to production.

Qualifications

• 8–14 years of software engineering experience with strong hands-on large-scale Python.
• Depth in at least one backend language (Go, Rust, Java, or C/C++) and judgment to choose appropriately.
• Strong data structures and algorithms; API/microservices/system design experience.
• Hands-on experience building and operating data pipelines and distributed systems.
• 2+ years of hands-on LLM engineering with agentic systems in production.
• Experience with agent frameworks and tool-calling interfaces; MCP servers.

Responsibilities

• Lead enterprise-scale agentic AI implementations for Fortune 500 clients.
• Own data pipelines, backend services, and the agent orchestration layer end-to-end.
• Develop evaluation harnesses and manage cloud infrastructure for scale and governance.
• Design and implement tool-calling agents with retrieval, reasoning, and secure action execution.

Skills

Large-scale Python

Systems design

Data pipelines

LLM engineering

APIs / microservices

Tools

LangGraph

Google ADK

CrewAI

Claude Agent SDK

Milvus

Pinecone

Weaviate

FAISS

Job description

ApTask is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI deployments for Fortune 500 clients. The role is hands-on, focusing on designing and shipping autonomous, tool-calling AI systems that reason over enterprise data, call real systems securely, and scale with strict latency and governance.

You will own data pipelines, backend services, the orchestration layer, evaluation harness, and the cloud infra, with a track record of taking agentic systems to production.