Senior AI Engineer

Location: New York City headquarters, United States; hybrid work from office and remote

Salary: $131,000–$241,000 per year, plus applicable bonus/commission, equity, and benefits.

Company

hirify.global provides independent marketing measurement software, data, and analytics that authenticate the quality and effectiveness of digital media for major brands and media platforms.

What you will do

• Design, build, and maintain AI agents, MCP servers, and LLM-backed tools within the AgentOS framework.
• Expose Pinnacle advertising analytics capabilities, including metrics, dimensions, settings, and user data, to AI agents.
• Implement multi-turn conversational flows, tool-use reasoning chains, agent orchestration, and chat UI integrations.
• Integrate OpenAI, Anthropic, Google, and other LLMs; develop prompt strategies and RAG pipelines.
• Build evaluation and observability frameworks covering accuracy, instruction-following, hallucinations, regression quality, latency, and cost.
• Integrate AgentOS with authentication, settings, analytics, and backend services while collaborating with Product, UX, Data Science, QE, and backend teams.

Requirements

• 5+ years of professional software engineering experience building production-grade systems, including 2+ years developing LLM-based applications or AI agent systems.
• Demonstrated experience shipping AI-powered features end-to-end from prototype to production.
• Hands-on experience with LangChain, LangGraph, or equivalent agent orchestration frameworks; familiarity with MCP or similar tool-integration protocols.
• Experience integrating LLM APIs, including streaming, tool calling, and structured output patterns.
• Strong Python proficiency and ability to build clean, testable, production-quality backend services.
• Understanding of RAG, vector stores, semantic search, and LLM/agent evaluation frameworks.
• Familiarity with GCP, AWS, or Azure and containerization basics with Docker or Kubernetes.
• Strong problem-solving, communication, collaboration, and ability to operate effectively with ambiguity.
• BS/MS in Computer Science, Machine Learning, AI, or a related technical field.

Nice to have

• Production MCP server development and tool-use experience.
• IAM, Keycloak, or OAuth 2.0 authentication knowledge.
• Advertising analytics, AdTech, or BI experience, including Looker or Snowflake.
• React or Angular experience for conversational UI features.
• Open-source AI contributions or published AI/ML work.
• Experience with DeepEval, LangSmith, or Braintrust.
• Responsible AI knowledge, including bias mitigation and hallucination reduction.

Culture & Benefits

• Full-time hybrid work model combining office and remote work from the New York City headquarters.
• Fast-paced, evolving AI environment with an emphasis on shipping, iteration, shared standards, and code quality.
• Opportunity to build AI capabilities used by Fortune 500 advertisers and media platforms.
• Eligible for applicable bonus/commission, equity, and benefits.