Agentic AI Engineer

Elastic

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salary
$94,300–$149,200 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $122k
$76k most similar roles pay here $264k

This role pays less than 96% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $122k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 240 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 91 roles with salary data.

Most-posted roles

View all roles at Elastic

At a glance

TL;DR · Agentic AI Engineer

Agentic AI Engineer joins the Elastic IT team to build autonomous, enterprise-grounded agents designed to complete complex business tasks and improve organizational productivity. The role involves designing sophisticated agentic workflows using reasoning and tools, implementing Retrieval Augmented Generation (RAG) with the Elasticsearch Relevance Engine (ESRE), and integrating LLMs with internal APIs and third-party SaaS tools. You will manage scalable infrastructure using Terraform across AWS, Azure, and GCP while establishing CI/CD pipelines for deployment and performance optimization. Key technical requirements include proficiency in Python or TypeScript, experience with LangGraph, LangChain, and LangSmith, and a strong grasp of security fundamentals like VPC configurations and IAM controls. Additionally, the role requires implementing observability systems to monitor multi-agent workflows and managing infrastructure using Docker and Kubernetes to solve complex data problems within an enterprise environment.

What you'll do

  • Design and implement sophisticated agentic workflows that use reasoning and tools to execute end-to-end business processes.
  • Utilize Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine to ensure agents are grounded in enterprise knowledge.
  • Develop and fine-tune LLMs while integrating them with internal APIs and third-party SaaS tools for autonomous action.
  • Provision and manage cloud-based infrastructure using Terraform to support high-concurrency demands for enterprise agents.
  • Establish CI/CD pipelines and DevOps practices to automate the deployment, testing, and performance optimization of agentic systems.
  • Implement security measures including VPC configurations, secure API gateways, and IAM controls to protect sensitive data.
  • Build observability and tracing systems to monitor agent behavior, track latency, and manage token spend.
  • Act as a subject matter expert on the Elastic Stack to provide technical recommendations for AI-driven productivity.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science or a related engineering field.
  • Proven success delivering independent GenAI projects involving autonomous task completion or complex workflow automation.
  • Proficiency in Python or TypeScript for backend logic and agent orchestration.
  • Experience with LLM providers, RAG patterns, and the Elasticsearch Relevance Engine (ESRE).
  • Familiarity with LangGraph, LangChain, and LangSmith for building multi-agent systems.
  • Hands-on experience with Terraform, Docker, Kubernetes, and CI/CD pipelines.
  • Strong knowledge of security and network fundamentals including VPCs, IAM, and secure API gateways.
  • Experience implementing observability frameworks including logging, distributed tracing, and metrics.

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