Smart Working

Engineer

• Design, build, and maintain large-scale Python-based scraping systems targeting highly protected websites (including Google-like environments).
• Architect resilient extraction systems capable of handling dynamic, JavaScript-heavy pages using browser automation and hybrid approaches.
• Continuously adapt systems to frequent changes in page structures, request flows, and anti-bot mechanisms.
• Build robust, production-grade data extraction pipelines with strong emphasis on accuracy, observability, and fault tolerance.
• Implement advanced strategies such as proxy rotation, fingerprinting, session management, and request routing to ensure stability at scale.
• Monitor system health, proactively detect anomalies, and debug complex production failures across distributed systems.
• Optimise scraping infrastructure for performance, cost efficiency, and reliability at scale.
• Collaborate with data engineering and product teams to ensure scraped data is structured, validated, and trusted.
• Operate and improve systems running continuously in cloud environments.
• Document system architecture, scraping logic, and operational procedures for long-term maintainability.
• Contribute to improving resilience, automation, and adaptability in adversarial environments.

Anti-Bot Engineer

AI Engineer

• Assess the current ElevenLabs environment and identify gaps, inefficiencies, and scalability issues.
• - Define and implement best-practice architecture and operational standards for:
• - Call agent configuration
• - Estate management
• - Reporting and operational visibility
• - Plan and execute migration activities from the current implementation to an improved target-state architecture.
• - Optimise and stabilise AI voice workflows and integrations.
• - Identify and recommend the most suitable middleware solutions for client integrations and operational workflows.
• - Create clear technical blueprints, operational procedures, and SOP documentation for ongoing platform management.
• - Troubleshoot and resolve issues across AI workflows, integrations, and automation processes.
• - Improve system reliability, maintainability, and operational efficiency across the platform.
• - Work closely with internal stakeholders to prioritise improvements and deliver practical solutions quickly.
• - Contribute ideas for automation and process improvements using AI-driven tooling and workflows.

AI Engineer – Contractual

Full-stack Engineer

• Design, build, and maintain scalable full-stack applications across frontend, backend, and infrastructure layers
• Collaborate with Product, Design, Commercial, and Analytics teams to define and deliver impactful new features
• Build internal tools and operational systems that improve efficiency and scalability across the organisation
• Develop and integrate AI-powered workflows and LLM-based solutions using modern generative AI tooling
• Explore, evaluate, and optimise the use of LLMs and AI systems across products and internal processes
• Contribute to architectural decisions, scalability improvements, and ongoing platform evolution
• Build high-quality user experiences using modern frontend technologies and design systems
• Design and maintain reliable backend systems, APIs, and data structures
• Work across evolving technologies and help identify the right tools and approaches for different problems
• Participate in retrospectives, knowledge sharing, and continuous improvement initiatives
• Foster a collaborative, inclusive, and psychologically safe engineering culture
• Contribute to delivering products that create meaningful real-world impact for end users

Senior Product Engineer

Software Engineer

• Develop and maintain scalable applications using NodeJS, TypeScript, MongoDB, Docker, and related technologies
• Contribute hands-on across the full software development lifecycle, from design through deployment and support
• Collaborate closely with developers, designers, QA, and product stakeholders to deliver high-quality product features and enhancements
• Participate actively in Agile ceremonies, including sprint planning, standups, retrospectives, and estimation sessions
• Review technical designs, requirements, and specifications to provide constructive feedback and ensure engineering quality
• Identify technical risks, dependencies, and architectural considerations early in the development process
• Drive engineering best practices across CI/CD, testing, observability, security, and code quality
• Contribute to architectural strategy and support scalable, maintainable system design decisions
• Build and support real-time, event-driven, and data-intensive platform capabilities
• Participate in an on-call support rota and contribute to incident resolution and operational stability
• Collaborate across business and technical teams to align engineering delivery with commercial and customer objectives
• Promote knowledge sharing, documentation, and continuous improvement across the engineering organisation
• Leverage AI-assisted development tools to improve engineering productivity and delivery efficiency

Senior NodeJS Developer

Backend Engineer

• Own and maintain cloud-based data pipelines and backend systems across the AWS stack.
• Run and support monthly ingestion and processing workflows using AWS services such as S3, Lambda, Glue, Athena, and Step Functions.
• Maintain and improve the Python codebase, dependencies, and backend services.
• Support and enhance the client-facing analytics dashboard and API delivery layer.
• Perform data quality validation, troubleshooting, and issue resolution across the platform.
• Improve API performance, scalability, and reliability.
• Help redesign and modernise data structures and vehicle make/model mapping systems.
• Support the productionisation of a cloud-based repair database.
• Reduce technical debt and improve engineering standards across the stack.
• Integrate and manage third-party data providers and ingestion workflows.
• Work independently to identify platform improvements and deliver pragmatic solutions.
• Use AI tools and automation to improve engineering productivity and operational efficiency.

Software/Data Engineer – AWS, Python

• Design, build, and implement an end-to-end AI-powered tender response platform.
• Develop and maintain backend services and AI workflows using AWS-native technologies.
• Build and manage infrastructure using Terraform and cloud-native best practices.
• Implement AI and retrieval workflows leveraging AWS Bedrock and vector database technologies such as PGvector.
• Design and orchestrate scalable workflows using AWS Step Functions.
• Collaborate closely with senior technical stakeholders to deliver project milestones within tight timelines.
• Contribute to architecture decisions, backend integrations, and deployment workflows.
• Ensure solutions are scalable, maintainable, and production-ready.
• Troubleshoot and resolve technical issues across infrastructure, backend services, and AI components.
• Support testing, deployment, and optimisation activities throughout the project lifecycle.
• Operate effectively in a fast-paced environment with high ownership and minimal oversight.

Senior AI Engineer

• Build and deliver core application features using Blazor as the primary front-end technology
• Develop reusable UI components and layouts within a Blazor-based architecture
• Integrate Blazor front-end components with backend APIs and services
• Collaborate closely with other Blazor developers and front-end engineers to meet aggressive delivery timelines
• Contribute to stabilising and refining early-stage functionality through bug fixing and optimisation
• Follow agreed engineering standards to ensure maintainable, production-ready code
• Support rapid iteration and delivery during the initial project phase

Anti-Bot Engineer

AI Engineer – Contractual

Senior Product Engineer

Senior NodeJS Developer

Senior NodeJS Developer

Software/Data Engineer – AWS, Python

Senior AI Engineer

Blazor Developer