About this role
Salary: £58,000 - 98,000 per year
Requirements: 3+ years of experience as a software engineer in a SaaS or cloud-based environmentStrong backend engineering experience, with RoR and/or Golang preferredExperience integrating APIs and working within distributed systemsHands-on experience with AI/ML tools such as OpenAI, Anthropic, Hugging Face, or similarExperience building or integrating AI-powered features into applications, not just experimentationStrong understanding of data flow, system design, and performance optimizationExperience with relational databases such as SQL Server or similarFamiliarity with microservices architecture, Kubernetes, and CI/CD pipelinesExperience deploying applications in Azure or similar cloud environmentsStrong problem-solving skills and the ability to work in ambiguous, fast-moving environmentsBuilder mindset with the ability to take an idea and turn it into a working feature quicklyPragmatic approach to AI, focusing on value rather than hypeAbility to work independently in a contract environment while collaborating closely with internal teamsStrong communication skills and the ability to explain AI concepts to non-technical stakeholdersExperience with prompt engineering, embeddings, or retrieval-augmented generation (RAG)Exposure to model evaluation, fine-tuning, or AI performance monitoringExperience with event-driven architectures or real-time data processingBackground in energy, fintech, or other complex data-driven industries Responsibilities: Design and implement AI-powered features within our platform, such as automation, recommendations, and copilotsIntegrate LLMs and/or ML models into our existing services and workflowsEvaluate, select, and optimize AI tools, APIs, and frameworks for production useCollaborate with Product to translate business problems into AI-driven solutionsBuild and maintain scalable backend services to support AI functionalityProfile, test, and optimize the performance of AI-integrated systemsEnsure the reliability, security, and cost-efficiency of AI components in productionContribute to architecture decisions around AI integration and system designPartner with engineering teams to embed AI into existing applications without degrading stability Technologies: AIAzureBackendCI/CDCloudERPFlowGolangSupportKubernetesSQLSecuritymicroservicesMachine LearningRubyUX UI Design More:
We are hiring on behalf of one of our clients based in Houston, TX. The client is a fast-growing US-based SaaS company transforming how energy firms manage operations through an end-to-end ERP platform that streamlines field data, production, finance, land, and compliance, delivering real-time insights and operational efficiency. This is a hands-on role in the USA for someone who can move quickly, make pragmatic decisions, and bring AI concepts into real, scalable product features within a production SaaS environment.
last updated 40 week of 2026