GenAI Software Engineer

Your tasks

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.

Requirements

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)