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 support • Strong Python (or another modern backend language), API design, async processing, and system architecture • Strong PostgreSQL/relational database skills, plus practical knowledge of data pipelines, search, and vector retrieval • Hands-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 acceptable • Excellent communication and facilitation skills, with the ability to work with non-technical users and drive adoption • Comfortable with ambiguity and quick to learn new business domains Nice to Have: • Consulting, solutions engineering, or other user-facing, end-to-end delivery experience • Visual workflow builder experience (n8n, Flowise), including custom nodes and integrations • LLM evaluation, observability, or red-teaming experience • Experience in regulated environments (data privacy, cybersecurity, government requirements such as IM8)