Staff Software Engineer (Data Engineering)

TL;DR

Director of Engineering (AI): Leading the development of an AI-powered conversational interface for Pinnacle, transforming client interaction with advertising data using cutting-edge AI technologies. Focus on designing and architecting agentic AI systems, driving innovation in conversational AI experiences, and building a world-class AI/ML engineering team.

Location: Hybrid in New York, NY

Salary: $118,000–$235,000

Company

hirify.global is a leading independent provider of marketing measurement software, data, and analytics that authenticates digital media quality for Fortune 500 clients.

What you will do

• Define and execute the technical vision and roadmap for PinAI/Pin Chat, aligning AI initiatives with strategic objectives.
• Lead the design and architecture of scalable agentic AI systems leveraging Model Context Protocol (MCP).
• Drive innovation in conversational AI experiences that transform complex analytics into intuitive, natural language interactions.
• Build, mentor, and scale a world-class team of AI/ML engineers, software engineers, and technical leads.
• Oversee the development of agentic AI systems using frameworks like LangChain and implement robust evaluation frameworks.
• Partner with Product, Data Science, and Architecture teams to translate business requirements into scalable AI solutions.

Requirements

• 10+ years of software engineering experience building production systems at scale.
• 5+ years in engineering leadership roles, managing teams of 5-15+ engineers.
• Hands-on experience with AI/ML systems, particularly LLMs and conversational AI.
• Deep expertise in building agentic systems using frameworks like LangChain, LangGraph, or AutoGPT.
• Experience with Model Context Protocol (MCP) or similar for building modular AI agent components.
• Proficiency in Python, Java, Scala, or similar languages for building scalable backend systems.
• BS/MS in Computer Science, Machine Learning, AI, or related technical field (PhD preferred).

Nice to have

• Experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
• Familiarity with agent evaluation tools like DeepEval, LangSmith, Weights & Biases.
• Knowledge of responsible AI practices, bias mitigation, and AI safety.
• Experience in AdTech, Analytics, or Business Intelligence domains.

Culture & Benefits

• Opportunity to lead a cutting-edge AI initiative at a publicly-traded, industry-leading company.
• Work with Fortune 500 clients on transformative AI solutions.
• Collaborative, innovative culture with a focus on continuous learning.
• Competitive compensation including base salary, bonus, and equity.
• Comprehensive benefits package and professional development opportunities.
• Hybrid work flexibility.