Lead Engineer – Generative AI / Agentic AI
$60–$68 an hour
Staffing Spot, Inc. · Charlotte, NC · Contract
Build · Found · posted yesterday
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Experience asked for: at least 5 years
Read from the required qualifications, not the preferred ones. We show the largest stated requirement. The employer may accept equivalent experience; read the qualifications below.
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
