Head of Engineering (Applied AI and Data Infrastructure)

Location: Hybrid in the Greater New York area, with a minimum of 3 days in the office

Salary: $350,000–$400,000 base plus top-of-line benefits

Company

hirify.global is a specialist recruitment partner connecting AI, machine learning, data, and engineering talent with technology companies.

What you will do

• Build and scale proprietary AI and data products for opportunity identification, market mapping, workflow automation, research, and decision support.
• Architect data infrastructure across internal systems, CRM, financial, operational, market, and third-party datasets.
• Develop systems that surface signals across companies, people, open-source activity, hiring, financing, and market data.
• Build APIs, workflow tools, AI agents, model-serving infrastructure, and internal applications.
• Lead hands-on development while guiding contractors and future engineering hires.
• Partner with senior internal users and define the technical roadmap, engineering standards, and team structure.

Requirements

• Strong hands-on software engineering background, ideally through a startup, founding engineer, technical founder, CTO, senior IC, or tech lead path.
• Proven ability to build products and systems from zero to one in ambiguous, fast-moving environments.
• Deep experience with software engineering, data infrastructure, APIs, cloud-native systems, and AI-enabled product development.
• High fluency with modern AI tools, agents, LLM workflows, evaluations, observability, orchestration, and applied AI systems.
• Strong product instincts, communication skills, and ability to work directly with demanding commercial stakeholders.
• Must be hands-on with coding, prototyping, debugging, architecture reviews, and direct technical decisions.
• Must have strong software and data engineering fundamentals and be comfortable as a player-coach in a lean, early-stage engineering function.
• Must be able to work hybrid from the Greater New York area.

Nice to have

• Experience with Python, Node.js, React, SQL, DBT, Databricks, ETL/ELT frameworks, AWS, Azure, GCP, or equivalent cloud platforms.
• Experience with LangChain or similar orchestration frameworks, MLOps, model deployment, evaluation frameworks, vector stores, and agent orchestration.

Culture & Benefits

• Permanent position with top-of-line benefits.
• Build a new engineering function from the ground up inside a well-capitalised, long-term platform.
• Meaningful ownership of architecture, product direction, hiring, and technical culture.
• Work closely with sophisticated internal users who provide fast, high-quality feedback.