Staffing Spot, Inc.
Lead Engineer – Generative AI / Agentic AI
Skills
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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