Principal Software Engineer (AI)

Location: Remote in the United States

Salary: $151,535–$220,881 USD annually, depending on geographic structure.

Company

hirify.global is a technology solutions consultancy founded in 2006 that builds software platforms, agentic products, and engineering solutions for startups and large organizations.

What you will do

• Lead platform engineering, platform strategy, architecture, modernization, and replatforming across client engagements.
• Build and guide production-grade platforms, scalable systems, modular architectures, and product-oriented software.
• Support the full ML lifecycle, including data ingestion, preprocessing, model deployment, integration, and performance monitoring.
• Advise client CTOs and executives, align technical decisions with product and business outcomes, and manage technical roadmaps.
• Coach client engineering teams, facilitate retrospectives and strategy sessions, transfer knowledge, and improve engineering practices.
• Partner with account teams on opportunity identification, stakeholder relationships, pre-sales scope shaping, and technical delivery.

Requirements

• Typically 10+ years of repeated success across a variety of software projects, with deep consulting, technical, and product expertise.
• Experience building and shipping production-grade platforms, reusable foundations, infrastructure, tools, and workflows.
• Experience taking AI and agentic systems from prototype to production, including infrastructure, authentication, and observability.
• Experience delivering high-stakes consulting engagements across multiple language paradigms, technology stacks, ecosystems, and client industries.
• Experience leading production software development with languages and frameworks such as Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, Rust, and SQL.
• Experience building or integrating AI/ML features such as recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents.
• Experience leading architecture-level work involving scalability, security, reliability, performance, maintainability, observability, testing, fault tolerance, and secure engineering.
• Ability to align technical and non-technical stakeholders, navigate ambiguity, mentor teams, and balance technical considerations with product and user needs.

Nice to have

• Platform engineering involving reusable software foundations, internal developer platforms, and infrastructure for other teams.
• Data engineering experience, including Databricks for data processing and analytics.
• Production agentic systems using RAG pipelines, vector search, LangChain, LlamaIndex, CrewAI, AutoGen, or n8n.
• DevSecOps, DevOps, MLOps, and Infrastructure as Code experience.

Culture & Benefits

• Remote-first work with a distributed team across the United States, Canada, and the United Kingdom; most consulting engagements do not require travel.
• Unlimited access to books, courses, and expert-led training through O'Reilly, plus an annual learning and development stipend and time allotment.
• Coworking support, flexible PTO, and 12 weeks of new parent leave for eligible employees.
• Collaborative culture focused on continuous education, mentorship, honesty, quality, and measurable client outcomes.

Hiring process

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