Elastic
Agentic AI Engineer
$94K–$179K
United States · Full-time · Posted Jul 23, 2026
- Visa sponsorship
- An export license may be required as a condition of employment for applicants located in or nationals of the listed sanctioned countries or regions.
About the job
Build and operate enterprise multi-agent AI workflows that coordinate tasks, integrate with business systems, and automate processes.
What you'll do
- Design and deploy agent-to-agent communication and orchestration for autonomous agents and multi-step business processes.
- Integrate LLMs with enterprise APIs and SaaS tools, and apply RAG and search to ground agent operations.
- Manage cloud infrastructure, CI/CD, security, monitoring, evaluation, and technical documentation for multi-agent systems.
What they ask for
- Deep experience integrating, fine-tuning, and optimizing foundation models, including prompt engineering, tool calling, and structured outputs.
- Proven success building multi-agent systems, messaging pipelines, state management, and task delegation protocols.
- Advanced proficiency in Python or TypeScript.
- Hands-on experience with multi-agent orchestration frameworks and tracing platforms.
Nice to have
- Understanding of emerging AI interoperability standards, including Model Context Protocol (MCP).
- Knowledge of enterprise agent platforms such as Workday A2A, Salesforce Agentforce, or ServiceNow AI Agents.
Pay
$94,300 — $149,200 USD (base salary); $113,300 — $179,200 USD (base salary)
Tools
OpenAI, Anthropic, LangGraph, LangChain, AutoGen, LangSmith, Python, TypeScript
AI focus
Develop LLM-powered multi-agent systems, including A2A orchestration, tool calling, enterprise RAG, agent evaluation, and observability.
Model-written summary · the original posting is authoritative