About this role
Salary: £70,000 - 110,000 per year
Requirements: Proven experience in software engineeringExperience building and deploying production applicationsExperience working closely with users or business stakeholders to deliver software solutionsExperience with enterprise applications, financial services, commodities, or other complex business environments is helpful but not essentialStrong proficiency in Python and full-stack engineering, including React or an equivalent modern front-end framework and PostgreSQLAdditional languages such as Go or Java are a plusUnderstanding of database systems, SQL, NoSQL, data modelling, ETL pipelines, REST/gRPC APIs, and microservices architectureExperience with modern cloud engineering, including AWS, Docker, Kubernetes, CI/CD in GitLab or equivalent, and infrastructure as code such as TerraformWorking knowledge of identity and access management with OIDC/SAML and Azure Entra IDExperience with LLMs, RAG systems, prompt engineering, and AI evaluation frameworksFamiliarity with MLOps, model deployment, and AI observability/guardrailsStrong familiarity with AI-assisted development tools Responsibilities: Work closely with business users to understand their processes and challengesHelp turn prototypes into secure, production-ready applicationsPrioritise aggressively to deliver the most impactful work for business partnersAct as an advisor on AI technology to non-technical usersDevelop domain-specific applications using the right technologyBuild APIs, integrations, and automated workflows that connect with enterprise systemsImprove existing solutions by making them scalable, reliable, and easy to maintainSupport the design of data pipelines and integrations with the Enterprise Data PlatformContribute learnings and reusable components into the core AI PlatformBuild AI-powered workflows using modern AI frameworks and toolsHarness engineering for agentic applications including memory, tools, skills, and evalsUse AI development tools to improve engineering productivity and solution qualityDeploy applications into production with production-grade observabilityInvestigate issues, identify root causes, and work with other teams to resolve themImprove reliability through testing, monitoring, and continuous enhancementsMaintain documentation and contribute to operational best practicesBuild applications that meet security and compliance standardsImplement authentication and role-based access using enterprise identity platformsWork with security and platform teams to ensure solutions are ready for productionWork with engineers, architects, product teams, and business stakeholdersShare knowledge and contribute reusable components and best practicesHelp break down business problems into practical technical solutions Technologies: AIAWSAzureCI/CDCloudDockerETLEmbeddedGitLabSupportJavaKubernetesMLOpsNoSQLPostgreSQLPythonRAGRESTReactSAMLSQLSecurityTerraformgRPCmicroservicesClaude Code More:
We are Trafigura, and our AI Hub is responsible for enabling AI adoption across the business. We are recruiting a Forward Deployed Engineer for a full-time role in London, United Kingdom. This is an individual contributor position embedded with the assigned business domain and reporting to the Head of AI. We work closely with domain leadership, users, Enterprise Architecture, and Platform Engineering, and we are an Equal Opportunity Employer committed to a diverse workforce.
last updated 36 week of 2026