Lead Engineer – Generative AI/Agentic AI
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-11-04
Listing for:
Staffing Spot, Inc.
Full Time
position Listed on 2026-11-04
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
- Design and develop agentic AI applications using frameworks such as Agent Development Kit (ADK) and Lang Chain.
- 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 Open Shift.
- 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.
- Design and develop agentic AI applications using frameworks such as Agent Development Kit (ADK) and Lang Chain.
- 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 Open Shift.
- 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.
- 5+ years of engineering experience.
- 2+ years of experience with multi-cloud environments, including Azure, GCP, or Open Shift, and hands-on cloud-native development or application migration.
- 1+ years of experience with RAG and/or agentic AI workflows in Generative AI applications.
- Hands-on experience with Agent Development Kit (ADK), Lang Chain, LLMs, and enterprise AI application development.
- Strong understanding of MLOps, LLMOps, Dev Ops, and Infrastructure as Code (IaC).
- Experience with CI/CD pipelines, automated testing, and test-driven development.
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