Lead Software Engineer (AI/ML)

Location: Remote within the United States

Salary: $126,279–$184,068 USD annually, depending on geographic pay structure.

Company

hirify.global is a technology solutions consultancy that partners with startups and large organizations to build software products, platforms, and engineering solutions.

What you will do

• Lead high-stakes consulting engagements from discovery through production and contribute immediately to client projects.
• Lead architecture and software design discussions while balancing technology choices, product needs, deadlines, and quality.
• Collaborate on systems covering the full ML lifecycle, including data ingestion, preprocessing, model deployment, integration, and performance monitoring.
• Lead project teams, maintain prioritized and estimated backlogs, manage high-level roadmaps, and remove blockers.
• Maintain relationships with client technical leaders, provide status updates, identify risks, and present solutions.
• Mentor colleagues, lead workshops, facilitate retrospectives, and contribute to hiring and the wider technology community.

Requirements

• Typically 7+ years of sustained success across a variety of software projects.
• Experience leading complex consulting engagements and serving as a go-to leader for software development work.
• Production-quality development experience with multiple languages and frameworks, including Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Rust, Scala, R, and SQL.
• Experience building or integrating AI/ML-powered features such as recommendation engines, NLP models, computer vision, or predictive analytics, and using AI-assisted development tools for scaffolding, refactoring, debugging, testing, and documentation.
• Experience with context-appropriate automated testing, debugging and refactoring existing code, Git, macOS/Linux, and CI/CD.
• Ability to address architecture-level concerns including scalability, security, reliability, and performance.
• Ability to lead cross-functional collaboration, make recommendations under ambiguity, balance technical considerations with product and user needs, and communicate empathetically.
• Experience mentoring colleagues, sharing knowledge, seeking and giving feedback, and facilitating collaborative problem solving.

Nice to have

• Experience with MLOps, including LangChain for application development and ML lifecycle management.
• Data engineering experience, including Databricks for data processing and analytics.
• DevSecOps, DevOps, or infrastructure-as-code experience.

Culture & Benefits

• Remote-first work across the United States, Canada, and the United Kingdom, with coworking support and hubs in Chicago, London, Los Angeles, New York, and Seattle.
• Most consulting engagements do not require travel.
• Unlimited access to books, courses, and expert-led training through the O'Reilly learning platform.
• Annual financial stipend and dedicated time for learning and development.
• Flexible PTO and 12 weeks of new parent leave for eligible employees.
• Culture centered on continuous education, mentorship, collaboration, honesty, inclusion, and client outcomes.

Hiring process

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