
Elastic AI Engineer
Design and implement agentic workflows and enterprise-grounded agents using Retrieval Augmented Generation and the Elasticsearch Relevance Engine. Integrate and fine-tune LLMs, connect agents to internal APIs and SaaS tools, and manage training, deployment, and performance at scale on cloud platforms (AWS/Azure/GCP). Requires 3–5 years experience and at least 1 year with the Elastic Stack; skills include Python or TypeScript, Kubernetes, Docker, Terraform, LangChain/LangGraph/LangSmith, and Jina AI.











