Agentic AI Engineer

Elastic
United States
Workplace: OnsiteFull timeUSD 94,300 - 149,200Function: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Problem solving","Ethical AI"]

Build autonomous, enterprise-grounded agents and agentic workflows that execute end-to-end business processes. Leverage Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure high-accuracy task completion, while integrating LLMs with internal APIs and third-party tools. Own cloud infrastructure and DevOps lifecycle management using Terraform and CI/CD, and implement security, networking, and observability to keep agent pipelines reliable and scalable.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Elastic
Elastic
1 month ago

Agentic AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build autonomous, enterprise-grounded agents and agentic workflows that execute end-to-end business processes. Leverage Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure high-accuracy task completion, while integrating LLMs with internal APIs and third-party tools. Own cloud infrastructure and DevOps lifecycle management using Terraform and CI/CD, and implement security, networking, and observability to keep agent pipelines reliable and scalable.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement agentic workflows that use reasoning and tools to execute end-to-end business processes.
  • •Use RAG and ESRE to ground agents in enterprise knowledge for accurate task completion.
  • •Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.
  • •Provision and manage scalable cloud environments with Terraform and establish DevOps CI/CD to deploy, test, and optimize agents.
  • •Apply security and networking fundamentals and implement observability/tracing to monitor execution latency, token spend, and model health.

Pay and Benefits

Salary: USD 94,300 - 149,200
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveParental Leave

Key Requirements

  • •Proven success delivering independent GenAI projects involving autonomous task completion or complex workflow automation.
  • •Strong desire to learn Elastic, including expertise in Elasticsearch Relevance Engine (ESRE) and advanced RAG patterns within the Elastic ecosystem.
  • •Familiarity with agentic frameworks such as LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.
  • •Hands-on DevOps and infrastructure automation using Terraform, plus containerization/orchestration technologies like Docker and Kubernetes.
  • •Strong knowledge of secure cloud architectures and observability practices, including logging, distributed tracing, and metrics for monitoring agent workflows.
Education:Master's in Computer Science or a related engineering field
Skills:CommunicationProblem solvingEthical AI
Languages:English
Tech Stack:Elastic StackESREAgent BuilderWorkflowsRetrieval Augmented GenerationRAGLLMsInternal APIsSaaS toolsAWSAzureGCPTerraformDevOpsCI/CDVPCAPI gatewaysEncryptionIAMObservability

Company Brief

Elastic
Builds the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash) and provides search, observability, and security solutions that enable organizations to search, analyze, and protect data in real time across applications, infrastructure, and enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 2012
WebsiteLinkedIn