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Mid-level ML role with common LLM, Python and Vertex AI skills at a known firm; moderate competition.
Strong ML, prompt-engineering and data-governance focus increases domain specificity and reduces transferability.
Requires 3+ years plus specific LLM, Vertex AI, Python and agent orchestration skills, strict filters.
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Configure, fine-tune, and automate AI agents focused on data governance, quality, lineage, and stewardship on the EXLdata.ai™ platform.
Perform current-state analysis and documentation of metadata, data lineage, and governance workflows; support reporting dashboard configurations.
Integrate AI agents with backend systems including Knowledge Graph and Vector Database; collaborate with cross-functional teams and troubleshoot agent and data pipeline issues in a GKE environment.
Minimum 3 years experience in AI/ML development, agent configuration, or LLM-based application development.
Proficiency in Python scripting and automation; hands-on experience with AI agent frameworks, orchestration tools, and CI/CD pipelines using GitHub/GitHub Actions.
Strong knowledge of data governance concepts (data quality, stewardship, lineage, MDM/RDM) and experience with REST APIs and event-driven integration.
Work Experience Required: Minimum 3 years in relevant AI/ML development roles.
Experienced in prompt engineering to optimize AI agent behavior and output quality within data governance domains.
Familiarity with cloud-native architectures and tools, especially Google Cloud Platform components like Vertex AI, BigQuery, GKE, and Nginx orchestrator.
Experienced working in Agile delivery models and collaborating with roles such as GCP Engineers, Solution Architects, and Data Analysts.