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Lead Engineer – Generative AI / Agentic AI

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Onsite

Lead Engineer – Generative AI / Agentic AI

Staffing Spot, Inc.

Lead Engineer – Generative AI / Agentic AI

Skills

Google Cloud PlatformCybersecurityAIComplianceAzure

13 days ago

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Important information


Contract type:

Freelance / Contract

Salary:

$124,800 – $141,440 / year

Location:

Phoenix, AZ, USA

Work mode:

Onsite

Published on:

12 October 2026

What they need


Key Responsibilities

  • Design and develop agentic AI applications using frameworks such as Agent Development Kit (ADK) and LangChain.
  • Implement Retrieval-Augmented Generation (RAG) and LLM-powered workflows for enterprise applications.
  • Apply MLOps and LLMOps practices to support reliable AI application development and deployment.
  • Develop and maintain cloud-native applications across multi-cloud environments, including Azure, GCP, and OpenShift.
  • Ensure solutions meet enterprise architecture, security, scalability, stability, and non-functional requirements.
  • Collaborate with architects, engineers, product teams, and business stakeholders to deliver user-focused solutions.
  • Identify and resolve technical roadblocks across coding, build, deployment, and application migration.
  • Conduct code reviews, promote test-driven development, and mitigate technology and enterprise risks.
  • Contribute to technology roadmaps and support modernization initiatives.

Required Qualifications

  • 5+ years of engineering experience.
  • 2+ years of experience with multi-cloud environments, including Azure, GCP, or OpenShift, and hands-on cloud-native development or application migration.
  • 1+ years of experience with RAG and/or agentic AI workflows in Generative AI applications.

Desired Qualifications

  • Hands-on experience with Agent Development Kit (ADK), LangChain, LLMs, and enterprise AI application development.
  • Strong understanding of MLOps, LLMOps, DevOps, and Infrastructure as Code (IaC).
  • Experience with CI/CD pipelines, automated testing, and test-driven development.
  • Familiarity with financial services, banking regulations, and compliance requirements.
  • Strong cybersecurity awareness and experience implementing secure development practices.
  • Proven technical leadership, code review, problem-solving, and stakeholder collaboration skills.

Skills: mlops,openshift,generative ai,llms,,gcp,technology,cloud,azure,langchain,application,rag,adk,ai workflows,code,kit,agent development,enterprise

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