GenAI Software Engineer

Job Summary:Work directly with business units to deliver high-impact AI and automation solutions on our established enterprise GenAI platform. You’ll own delivery end to end, from discovery and rapid prototyping through production rollout, adoption, and handover.Job Responsibilities:Discover and shape: Embed with business teams, understand their workflows and pain points, and turn ambiguous needs into prioritised use cases with measurable success criteria.Prototype and iterate: Build working prototypes quickly, validate with users, and take viable solutions to production.Build agentic workflows: Design reliable AI agents and workflows using LangGraph, LangChain, n8n, or similar, combining deterministic logic, LLM reasoning, tool calling, and human approvals.Develop applications and backends: Build APIs, integrations, and lightweight UIs using Python, FastAPI, and PostgreSQL, including data ingestion and retrieval pipelines (search and vector services).Ensure quality and safety: Define evaluations, implement tracing and monitoring, and apply secure, responsible AI practices (least privilege, prompt-injection defences, auditability, human oversight) in line with government policies.Drive adoption: Own testing, rollout, documentation, user enablement,and support. Feed learnings back into reusable patterns and the core platform.Job Requirements:5+ years of software engineering experience, with ownership of production applications from ambiguous requirements through to deployment and supportStrong Python (or another modern backend language), API design, async processing, and system architectureStrong PostgreSQL/relational database skills, plus practical knowledge of data pipelines, search, and vector retrievalHands-on experience with LLM applications, RAG, tool-calling agents, or workflow automation (LangGraph, LangChain, LlamaIndex, n8n, or equivalent)Cloud-native deployment experience; AWS (Bedrock, OpenSearch) preferred, Azure or GCP acceptableExcellent communication and facilitation skills, with the ability to work with non-technical users and drive adoptionComfortable with ambiguity and quick to learn new business domainsNice to Have:Consulting, solutions engineering, or other user-facing, end-to-end delivery experienceVisual workflow builder experience (n8n, Flowise), including custom nodes and integrationsLLM evaluation, observability, or red-teaming experienceExperience in regulated environments (data privacy, cybersecurity, government requirements such as IM8)