Jobs at BJAK

Lead design and delivery of core platform systems for an AI-driven insurance ecosystem. Build scalable backend services, APIs, workflow engines, and integration layers; define standards for reliability, observability, and extensibility; mentor engineers; collaborate with product, operations, QA, and DevOps; own production stability, incident response, and reliable releases.

Lead design and delivery of backend and platform systems to enable BJAK's UK market expansion. Translate regulatory and operational requirements into scalable architectures, build integrations with insurers and partners, ensure compliance, availability and operational readiness, and collaborate with product, QA, DevOps and operations to deploy and operate multi-region systems.

Lead design, development, and delivery of production AI systems and orchestration for insurance workflow automation. Architect inference pipelines, routing, caching, and fallback strategies. Drive latency, reliability, cost, and scalability decisions; implement observability and incident response; mentor engineers and guide cross-functional teams to ship production-grade AI features.

Build responsive, high-performance frontend applications using React, Next.js and TypeScript; translate UX designs into scalable component-based interfaces; integrate with backend APIs and workflow engines; optimise performance, maintain reusable components, participate in code reviews, and collaborate with product, design and backend teams to deliver AI-enabled workflow automation features.

Build and maintain React/Next.js TypeScript frontend applications powering checkout, payments and policy renewal flows. Translate designs into responsive interfaces, integrate with APIs and payment providers, optimize performance, implement transactional workflows, and contribute to reusable frontend architecture and engineering best practices.

Build fast, scalable React/Next.js frontend applications for customer-facing and internal AI-powered insurance workflows. Translate UX requirements into responsive interfaces, integrate with backend APIs and AI services, optimize performance, create reusable components, participate in code reviews, and collaborate with product, design, backend engineers and QA to shape frontend architecture and technical decisions.

The Staff Machine Learning Engineer will lead the execution of ML systems, ensuring reliability and scalability while collaborating with cross-functional teams to deliver high-quality AI solutions.

The role involves building end-to-end production-grade ML systems, optimizing pipelines, integrating models into applications, and maintaining data systems.

Manage the entire hiring process, from sourcing candidates to closing roles, while improving recruitment strategies and processes to enhance speed and quality.

The Assistant Recruitment Manager is responsible for managing the hiring process end-to-end, building pipelines, improving recruitment strategies, and enhancing candidate experiences while ensuring timely hiring outcomes.

The Technical Lead, Applications oversees application architecture, ensuring reliability and integration of AI into backend, mobile, and desktop services, while leading a senior engineering team.

As Technical Lead, you'll own ML system execution, manage data pipelines, model deployment, and ensure performance under real-world conditions while collaborating with the team.

Responsible for building and maintaining Android applications with AI features. Focus on performance, UX design, and collaboration with backend and ML engineers.

The VP of Research, Machine Learning will lead the research direction for AI systems, focusing on intelligence design, evaluation frameworks, and advanced machine learning techniques while ensuring real-world applicability.

The Head of Engineering will drive execution, structure workflows, ensure reliable delivery of engineering projects, and build a high-performing global engineering team.

The Recruiting Coordinator supports high-volume hiring, ensuring structured operations, coordinating interviews, maintaining ATS accuracy, and drafting offer letters while collaborating with recruiters and hiring managers globally.

The Senior Machine Learning Engineer will build core ML systems, handle data preparation and iteration, debug model issues, and ensure reliable production performance while mentoring other engineers.

As an iOS Developer, you will build and maintain AI-powered iOS applications focusing on performance, reliability, and user trust. Collaborate with engineers to integrate AI features, design UX patterns, and optimize app performance.

The Applied AI Engineer will develop and deploy AI features, enhance model performance, optimize systems for reliability, and collaborate with teams to address complex problems.

As a Technical Product Manager for AI Systems, you will define system requirements, collaborate with engineers, ensure product quality, and align AI capabilities with user needs.