Software Engineer, Enterprise

About This Opportunity

We are representing a confidential AI technology organization seeking a Software Engineer, Enterprise to join their London team. Our client is building production-scale generative AI infrastructure that serves major global enterprises, and they need an experienced backend engineer to help architect and scale these critical systems.

In this role, you'll design and build the core backend services that power enterprise AI products—from scalable APIs and distributed data systems to robust deployment pipelines that ensure production-grade reliability. This is a chance to solve hard infrastructure challenges at the intersection of GenAI and enterprise software.

Responsibilities

• Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across cloud and hybrid infrastructure
• Develop core services and APIs that integrate AI models with enterprise data sources securely and efficiently
• Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads
• Optimize backend performance for latency, throughput, and cost—ensuring AI applications operate at enterprise scale across multi-cloud environments
• Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments
• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks
• Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust and enterprise-ready

What We're Looking For

• 4+ years of experience developing large-scale backend or infrastructure systems, with strong emphasis on distributed services, reliability, and scalability
• Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS
• Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform
• Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications
• Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production
• Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments
• Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments
• Collaborative mindset, working closely with ML, infrastructure, and product teams to bring complex GenAI systems into production at enterprise scale

How We Work With You

Our talent team at Get A Job.ai carefully screens candidates for this confidential role. When you apply through our platform, one of our recruiters will conduct an initial assessment and present qualified candidates to our client. Please apply only through Get A Job.ai—do not attempt to contact the client directly, as this position is being filled exclusively through our recruiting partnership.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and provide reasonable accommodations throughout our recruitment process.