Senior AI Software Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop and deliver production-ready AI-driven products that incorporate LLM capabilities, RAG, and agentic workflows.

• Choose appropriate models, orchestrate prompts, design systems, and implement AI tools such as LangGraph and Langfuse.

• Create evaluation, monitoring, and observability strategies to ensure reliability and readiness for production.

• Build scalable, event-driven microservices and APIs utilizing Node.js and TypeScript.

• Construct modern, responsive React frontends that enhance customer workflows.

• Design cloud-native systems on AWS, including services like Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, and RDS.

• Implement microservices, distributed system principles, and operational controls for financial products.

• Employ clean code practices, automated testing, CI/CD, and uphold operational excellence.

• Analyze and enhance production reliability, latency, cost, and AI quality.

• Mentor fellow engineers, foster team growth, and collaborate with product and engineering teams to deliver customer-ready features.

• Manage features comprehensively from selection and implementation to deployment, observability, and iteration.

⛳️ Requirements

• Robust software engineering experience in building, deploying, and maintaining production LLM/AI applications.

• Strong practical expertise with Node.js, TypeScript, and production-level React.

• Experience in prompt engineering, agentic workflows, RAG, and integrating LLMs.

• Familiarity with AI evaluation frameworks, monitoring techniques, and observability practices.

• Profound understanding of AWS, cloud-native architecture, APIs, and integration methodologies.

• Experience with microservices, messaging patterns, event-driven, and distributed system architectures.

• Dedication to quality, clean coding standards, thorough testing, and operational excellence.

• Experience with NestJS or comparable backend frameworks.

• Knowledge of tools like LangGraph, Langfuse, or similar AI orchestration and observability solutions.

• Insight into AI implementation within regulated or high-trust environments, preferably in the financial sector.

• Systematic design for evaluating LLM outputs and agentic workflows.

• Proven experience in delivering agentic systems in a production setting.

• Relevant degree or equivalent practical experience.

• Must reside in the United Kingdom and possess legal authorization to work there.

🏝️ Benefits

• Remote-first work environment across the UK.

• Work abroad policy available.

• Access to co-working spaces.

• 34 days of holiday (including flexible bank holidays) plus your birthday off.

• Company-wide off-site events.

• Optional Personal Development Plan.

• Flexible benefits platform.

• Life insurance coverage.

• Income protection plan.

• Critical illness insurance.

• Pension plan with up to 5% matched employer contribution, with options for increase.

• Private health and dental care provisions.

• Potential for share options.

• Enhanced family leave policies.