Agentic AI Engineer

Hybrid in New York, NY, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
Hybrid
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence

Summary

Agentic AI Engineer

Introduction:

An Agentic AI Engineer is responsible for building and supporting production-grade Agentic AI solutions using cloud-native AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Platform Vertex AI. They design intelligent agents capable of tool use, workflow orchestration, retrieval-augmented generation, reasoning, task automation, memory management, and multi-agent collaboration. The role involves applying backend development or data engineering experience to create scalable APIs, data pipelines, integrations, agent tools, and AI-enabled applications.

Responsibilities:

  • Build and support production-grade Agentic AI solutions using cloud-native AI platforms
  • Design intelligent agents with various capabilities
  • Create scalable APIs, data pipelines, integrations, agent tools, and AI-enabled applications
  • Enable secure and interoperable agent ecosystems using standards and protocols
  • Develop and maintain Agentic AI applications
  • Implement integrations and support agent ecosystems
  • Develop backend services, APIs, connectors, and integrations
  • Implement Retrieval-Augmented Generation solutions
  • Work with LLM frameworks and orchestration tools
  • Evaluate, test, and improve agent performance
  • Debug and resolve issues related to agent behavior
  • Collaborate with various teams

Requirements:

Required Skills:

  • Experience in Artificial Intelligence
  • Strong backend development or data engineering experience
  • Knowledge of cloud-native AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Platform Vertex AI
  • Experience in building AI agents with various capabilities
  • Ability to create scalable APIs, data pipelines, integrations, agent tools, and AI-enabled applications

Preferred Skills:

  • Experience with Model Context Protocol (MCP) and Agent2Agent (A2A) patterns
  • Experience with Retrieval-Augmented Generation solutions and LLM frameworks and orchestration tools
  • Experience in evaluating and improving agent performance
  • Experience in debugging and resolving issues related to agent behavior
  • Experience in collaborating with cross-functional teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91008819
  • Position Id: 9122685
  • Posted 3 hours ago

Company Info

About Yotta Systems INC

What began as a small, deliberate team has now grown into a systems-driven IT and workforce consulting partner, built quietly but intentionally. We didn’t rush to scale. We sharpened our listening skills, hiring skills, and problem-solving skills.

Contact the job poster
PT

Preet Tommar

Recruiter @ Yotta Systems INC

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