Software Engineer (AI, Python)

TL;DR

Software Engineer (AI, Python): Building and optimizing a reliable, scalable, and secure real-time ML platform with an accent on backend services, API design, and infrastructure automation. Focus on deploying complex machine learning models, ensuring cost-efficient model serving, and centralised reporting.

Location: Hybrid; 1-2 days per week in the office in London

Salary: £65,000 - £80,000

Company

hirify.global is redefining insurance automation with advanced AI and data-driven processes to transform how claims and underwriting decisions are made.

What you will do

• Collaborate with Product Managers and the Engagement team on solution design and product development.
• Take responsibility for maintaining and improving parts of our backend stack, following engineering best practices.
• Write robust and well-tested code, including unit, integration, and end-to-end automated tests for backend services.
• Participate in code reviews, share feedback, and stay informed about emerging backend technologies.
• Contribute to platform-related work, using infrastructure-as-code tools (AWS, Terraform, Kubernetes).
• Support the growth of the team by sharing knowledge and collaborating closely with engineers and data scientists.

Requirements

• Solid proficiency in software architecture using Python and FastAPI.
• Experience working in fully cloud-hosted environments (e.g., AWS).
• Solid RDBMS experience, preferably with PostgreSQL.
• Experience building RESTful APIs and real-time data processing pipelines.
• A good foundational understanding of modern software development lifecycles, including CI/CD, QA, and production releases in an agile environment.
• Strong problem-solving skills with the ability to think critically and creatively, along with excellent communication and teamwork abilities.

Nice to have

• Experience with Kubernetes, Apache Flink, Flux or Infrastructure-as-Code frameworks (e.g. Terraform).

Culture & Benefits

• Annual pay reviews and hirify.global Share Options.
• 28 days’ annual leave plus bank holidays.
• Hybrid working with 3 days per week working from home.
• Private Health Insurance and Dental Insurance.
• Learning and Development budget.
• Monthly socials, both in London and Virtual, and WeWork perks.