Principal Software Engineer (Hybrid) (AI)

Location: Waterloo, London, England, UK; hybrid with a minimum of one day per week in the office

Salary: £92,818–£116,122 GBP annually for the London market.

Company

hirify.global is a technology solutions consultancy founded in 2006 that partners with early-stage startups and large enterprises to build software, platforms, and agentic products.

What you will do

• Build trust with clients and lead platform engineering, platform strategy, and delivery across diverse engagements.
• Advise clients on architecture, scalability, platform evolution, and trade-offs connected to product and business outcomes.
• Work across the ML lifecycle, including data ingestion, preprocessing, model deployment, integration, and performance monitoring.
• Design technical roadmaps and lead scalable system design, modular architecture, testing, observability, fault tolerance, and secure engineering practices.
• Coach client engineering teams, facilitate retrospectives and technical deep-dives, and align technical and non-technical stakeholders.
• Influence CTO and executive decisions, support pre-sales and opportunity shaping, and contribute through mentoring, workshops, community work, and hiring.

Requirements

• Typically 10+ years of repeated success across varied software projects, with deep consulting expertise, technical leadership, and product thinking.
• Experience building and shipping production-grade platforms, reusable software foundations, infrastructure, tools, and workflows.
• Experience taking AI and agentic systems from prototype to production, including infrastructure, authentication, observability, and AI/ML features such as recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents.
• Experience leading high-stakes consulting engagements across multiple language paradigms, technology stacks, ecosystems, and client industries.
• Experience leading production software development with languages and frameworks including Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Rust, Scala, R, and SQL.
• Experience with modernization and replatforming, scalable architecture, security, reliability, performance, maintainability, and observability.
• Ability to facilitate stakeholder alignment, balance technical decisions with product and user needs, mentor teams at scale, and communicate clearly through ambiguity.
• Track record of evaluating and adopting new software tooling and trends, including experimentation with AI development tools.

Nice to have

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

Culture & Benefits

• Collaborative culture focused on honesty, continuous education, mentorship, quality, and measurable client outcomes.
• 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.
• Coworking support for the global team; London hub employees work hybrid with at least one day per week in the Waterloo office.
• Eligible employees receive 12 weeks of new parent leave.
• Consulting engagements usually do not require travel.

Hiring process

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