Lead Engineer – Generative AI / Agentic AI

Staffing Spot, Inc. · Columbus, OH · 1 wk ago

HybridContract

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.

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.

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.

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