Senior AI Engineer - AgentOS & LLM Platforms (Hybrid NYC)

DoubleVerify Inc.; United States; Hybrid; USD 131,000 - 241,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

DoubleVerify is hiring a Senior AI Engineer to build AgentOS, design MCP servers, and integrate LLMs for Pinnacle analytics. You will craft multi-turn AI flows, tool-use reasoning, and a secure data surface for Fortune 500 clients.

The role blends backend, AI, and frontend collaboration in a fast-paced environment. You will work closely with Product, UX, and Data Science, and contribute to evaluation and observability practices.

Qualifications

• 5+ years of professional software engineering experience building production‑grade systems.
• 2+ years of hands‑on experience developing LLM‑based applications or AI agent systems.
• Proven track record shipping AI features from prototype to production.

Responsibilities

• Design, build, and maintain AI agents within the AgentOS framework using MCP, LangChain, and related tooling.
• Develop MCP servers and tools exposing Pinnacle analytics to AI agents.
• Implement multi-turn conversational flows and tool-use reasoning for complex queries.
• Build and maintain chat UI integration connecting AgentOS to the Pinnacle front-end.
• Collaborate with backend teams to surface data securely to AI agents and participate in architecture reviews.
• Partner with Product, UX, and Data Science to translate requirements into agent capabilities.

Skills

LangChain

LangGraph

MCP

LLM APIs

Python

RAG

Embeddings

Evaluation frameworks

Cloud & Infra

Communication

Education

BS/MS in Computer Science or related field

Tools

Docker

Kubernetes

Keycloak

OAuth 2.0

Looker

Snowflake

Job description

DoubleVerify is hiring a Senior AI Engineer to build AgentOS, design MCP servers, and integrate LLMs for Pinnacle analytics. You will craft multi-turn AI flows, tool-use reasoning, and a secure data surface for Fortune 500 clients.

The role blends backend, AI, and frontend collaboration in a fast-paced environment. You will work closely with Product, UX, and Data Science, and contribute to evaluation and observability practices.