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Agentic AI Engineer

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Agentic AI Engineer in Others

  • Elastic
  • Full time
  • Email
  • Bengaluru, India

Responsibilities

  • Design, build, and deploy A2A communication architectures and multi-agent workflows for autonomous collaboration, delegation, and multi-step business processes.
  • Integrate proprietary and open-source LLMs with enterprise APIs, tool-calling methods, and third-party SaaS applications.
  • Implement RAG, enterprise grounding, vector search, and hybrid search strategies for reliable inter-agent operations.
  • Provision and manage AWS, Azure, and GCP environments using Terraform for high-concurrency LLM inference and agent coordination.
  • Create CI/CD pipelines and support testing, deployment, versioning, LLM evaluation, and agentic workflow lifecycle management.
  • Apply security and network controls including VPCs, secure API gateways, encryption, IAM, and protected inter-agent communication.
  • Build observability and evaluation systems to monitor agent interactions, accuracy, token spending, model drift, and agent loops.
  • Document LLM integration protocols, A2A interaction flows, and cloud infrastructure deployments.

Requirements

  • Deep experience integrating, fine-tuning, and optimizing foundation models, including prompt engineering, tool calling, and structured outputs.
  • Proven experience building multi-agent systems, inter-agent messaging pipelines, state management frameworks, and task delegation protocols.
  • Hands-on experience with LangGraph, LangChain, AutoGen, LangSmith, or comparable agentic and tracing platforms.
  • Strong understanding of AI interoperability standards including MCP and open multi-agent communication specifications.
  • Advanced proficiency in Python or TypeScript for backend orchestration, agent memory systems, and API service development.
  • Practical knowledge of RAG, vector databases, hybrid search architectures, and context management.
  • Hands-on experience with DevOps and infrastructure automation using Terraform, Docker, and Kubernetes.
  • Strong knowledge of secure cloud architecture, zero-trust networking, private endpoints, OAuth, SAML, and IAM.
  • Experience with logging, distributed tracing, metrics, and evaluation of non-deterministic multi-agent workflows.
  • Knowledge of enterprise agentic and workflow platforms such as Workday A2A, Salesforce Agentforce, and ServiceNow AI Agents.

Benefits

  • Distributed-company work model with flexible locations and schedules for many roles.
  • Health coverage for employees and families in many locations.
  • Generous vacation allowance.
  • Up to $2,000 matching for financial donations and up to 40 volunteer hours annually.
  • At least 16 weeks of parental leave.
  • Inclusive culture and equal employment opportunity.

Elastic

Elastic is the leading platform for search-powered solutions, and Elastic helps everyone — organizations, their employees, and their customers — find what they need faster while keeping applications running smoothly, and protecting against cyber threats. When you tap into the power of Elastic Ent...

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