Staff Software Engineer

We're a diverse, collaborative, and fast-growing team AI/ML (Business Systems Intelligence) About Our Client You'll be the point person and technical lead for this team, setting the standard for engineering excellence, building RAG (Retrieval Augmented Generation) pipelines, and enabling AI capabilities across the company. Beyond building systems, you will drive strategy, internal enablement, and mentor engineers as we expand our use of AI for business intelligence and automation. This is a foundational role with high visibility and impact: you will own the internal AI platform that makes enterprise data accessible, actionable, and intelligent. Job Description Project Ownership & Leadership Own the design, architecture, and delivery of internal AI/ML systems for business intelligence Lead the planning, estimation, and execution of backend and AI/ML projects, ensuring scalable, secure, and reliable systems Act as the point person for the AI Engineering Pod, representing the team across Engineering, Product, and Leadership Backend & Infrastructure Engineering Build and maintain APIs, microservices, and data pipelines that enable LLM-powered tools to access and act on SaaS data Implement retrieval-augmented generation (RAG) pipelines with vector databases for context-aware AI Ensure strong backend foundations: scalability, observability, and maintainability AI/ML Enablement Design and deploy AI-enabled internal products that expand company capabilities (e.g. intelligent assistants, automated insights, cross-SaaS workflows) Own the internal AI enablement platform, providing reusable tools, frameworks, and APIs for other engineers and business teams Partner with stakeholders to identify high-value internal use cases and deliver tailored AI solutions Technical Leadership & Mentorship Establish best practices for AI/ML development, deployment, and monitoring within internal systems Mentor AI Application Engineers and other team members, guiding them on backend, API, and AI/ML integration patterns Champion a culture of reliability, documentation, and continuous improvement System Ownership Be the owner-lead for all internal AI/ML systems built by this team, accountable for uptime, performance, and compliance Ensure all systems adhere to security, privacy, and compliance standards The Successful Applicant 7+ years of professional experience as a backend or full stack engineer, with deep expertise in backend systems. Deep understanding of LLM technologies, prompt engineering, and fine-tuning approaches. Experience with AI/ML pipelines, especially retrieval-augmented generation (RAG) and vector databases (e.g., Pinecone, FAISS, Weaviate). Proficiency in Python and at least one other backend language (Java, TypeScript, etc.). Expertise in cloud platforms (AWS preferred), microservices, and infrastructure as code (Terraform, Docker). Strong track record of owning and delivering large-scale backend platforms or internal systems. Strong knowledge of SaaS integrations and API development (REST, GraphQL). Excellent communication skills; able to translate technical work into business value and collaborate across teams. Nice to Have Prior experience as a tech lead or staff engineer leading a small pod or platform team. Exposure to multi-modal AI systems (text, images, transcripts). Experience with event-driven architectures and message queues (Kafka, SQS, etc.). Knowledge of AI safety and governance practices. Familiarity with MLOps frameworks (SageMaker, MLflow, Vertex AI). What's on Offer If you have a passion for leveraging advanced technologies to enhance and develop innovative solutions that improve our product and optimise results across our entire organisation, this is an excellent opportunity to make a tangible impact. #J-18808-Ljbffr