LLM Engineer

• Design and implement Python services connecting large language models to enterprise APIs, data sources and approved tools
• Build retrieval-augmented generation systems, including document ingestion, indexing, retrieval, reranking and source attribution
• Engineer agentic workflows with explicit permissions, reliable state handling, retries, audit trails and approval gates for consequential actions
• Develop document intelligence pipelines producing validated structured outputs for downstream applications and ERP workflows
• Create evaluation datasets and release criteria
• Measure answer quality, failure modes, latency and operating cost
• Deploy and operate AI applications in customer-controlled cloud or private environments
• Monitor systems, handle incidents and provide clear handover documentation
• Work closely with founders and customer engineering teams
• Own meaningful technical decisions and shape enterprise AI engineering practices

Explore Senior AI Engineer – Generative AI, Agentic Systems at datavent.io. Review requirements and application details.