Lead Engineer – Generative AI / Agentic AI

Staffing Spot, Inc.; Charlotte (NC); On-site; USD 130,000 - 170,000; Full time

Job summary

Staffing Spot, Inc. is seeking an experienced AI/ML engineer to design and build agentic AI applications using ADK and LangChain. You will implement RAG workflows and MLOps practices to ensure reliable deployment across Azure, GCP, and OpenShift.

The role emphasizes collaboration with architects, engineers, product teams, and business stakeholders to deliver scalable, secure, user-centric AI solutions with strong focus on non-functional requirements.

Qualifications

• 5+ years of engineering experience.
• 2+ years in multi-cloud environments, including Azure, GCP, or OpenShift, with cloud-native development or migration.
• 1+ years of experience with RAG and/or agentic AI workflows in Generative AI applications.
• Hands-on experience with ADK and LangChain for enterprise AI apps is desirable.
• Knowledge of MLOps, LLMOps, DevOps, and Infrastructure as Code (IaC).
• Exposure to CI/CD pipelines, automated testing, and test-driven development.

Responsibilities

• Design and develop agentic AI applications using 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.

Skills

Engineering experience

RAG workflows

Agentic AI workflows

CI/CD pipelines

Automated testing

Test-driven development

Tools

Azure

GCP

OpenShift

Agent Development Kit

LangChain

LLMs

MLOps

LLMOps

IaC

Job description

• 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.

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.