Senior Backend Software Engineer (AI)

TL;DR

Senior Backend Software Engineer (AI): Designing and implementing scalable backend services and tools for building and running AI Agents for multiple clients with an accent on re-architecting existing services for scalability, workflow orchestration, and integrating ML models. Focus on defining modern design patterns, solving complex concurrency challenges, and ensuring system reliability.

Location: Remote (UK or Europe within ~2–3 hours of London time)

Company

hirify.global is redefining how companies run operations by combining AI and expert humans to deliver entire workloads with human-level precision, faster and at radically more scalable costs.

What you will do

• Design and implement scalable backend services and tools for AI Agents and re-architect existing services for scalability.
• Extend and improve the workflow orchestration engine (Temporal) to automate complex operational workflows.
• Define and promote modern design patterns, coding standards, and architectural best practices for the backend platform.
• Act as the software “glue” between Machine Learning / MLOps and Platform Engineering teams, integrating models and infrastructure.
• Collaborate closely with product and engineering stakeholders to understand client needs and translate them into technical solutions.
• Write robust, maintainable, and well-tested backend code in Python (and occasionally Go), and participate in code reviews.

Requirements

• At least 4–5 years of experience as a Backend / Software Engineer.
• Strong hands-on experience with Python.
• Solid experience building and operating containerised microservices on Kubernetes.
• Understanding of event-driven architectures and distributed backend systems.
• Experience working with cloud platforms and a DevOps mindset.
• Basic understanding of machine learning principles and experience integrating with ML-driven systems or data pipelines.
• Familiarity with AI-assisted development tools (e.g. Cursor, Claude Code or similar).
• Good spoken and written English.

Nice to have

• Experience with workflow orchestration systems (preferably Temporal).
• Background in early-stage startups or fast-growing product companies.
• Exposure to Data Engineering, MLOps and/or Platform Engineering.
• Experience with AWS and event-driven messaging systems.

Culture & Benefits

• Full-time, remote-first role with flexible working hours and location.
• Competitive salary in the UK market with localization for other countries, plus equity.
• Generous paid vacation, sick leave, and parental leave.
• Annual budget for professional development and a separate budget for health and wellness.
• Three team offsites per year to London or other locations in Europe.

Hiring process

• Initial call with Toughbyte, followed by an interview with the VP Engineering.
• Take-home coding assignment in Python or Go focusing on design and best practices.
• Technical interview based on the assignment and a live system design session.