Job Description
Our client is hiring a Senior AI Data Engineer (Agentic Systems) to build agentic AI systems, autonomous AI agents, and AI-driven data platforms for a next-generation enterprise ERP software product serving small and medium-sized businesses. This senior-level AI data engineering role focuses on LLMs, retrieval augmented generation (RAG), vector databases, knowledge graphs, semantic layers, and enterprise data architecture, enabling AI reasoning over complex ERP, relational, and structured enterprise data. As a Senior AI Data Engineer working on agent-based systems, AI automation, and modern data engineering, you will help transform legacy ERP systems into modern, AI powered enterprise platforms.
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This position will require extensive hands-on experience with Oracle Business Intelligence (OBIEE 11g/12c or Oracle Analytics Server), including RPD development across all three layers, Answers and dashboards, and BI Publisher data models and templates AND strong Oracle SQL and PL/SQL, including views, materialized views, packages, and query performance tuning.
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What You’ll Do
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- Build AI context engines that allow agents to reason over millions of ERP records without hallucinations
- Design advanced retrieval pipelines (RAG) for structured enterprise data
- Construct knowledge graphs and semantic layers that map complex ERP relationships
- Develop agents that analyze and map legacy schemas automatically
- Create synthetic data pipelines and evaluation systems to test AI workflows against ground truth
- Help modernize legacy ERP modules using agent frameworks like LangGraph or CrewAI
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What We’re Looking For
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- Oracle Business Intelligence (OBIEE 11g/12c or Oracle Analytics Server), including RPD development across all three layers, Answers and dashboards, and BI Publisher data models and templates
- Strong Oracle SQL and PL/SQL, including views, materialized views, packages, and query performance tuning
- Strong experience in Python, SQL, and modern data systems
- Experience building RAG pipelines, vector search systems, or AI-driven data retrieval
- Familiarity with pgvector, Qdrant, Milvus, or similar vector infrastructure
- Experience working with LLM agents or AI automation frameworks
- Ability to work with large, complex relational schemas
- A builder mindset: you prefer automation over manual processes
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Tech Stack
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Python, SQL (Postgres / SQL Server), TypeScript, OpenAI / Anthropic, pgvector / Qdrant, LangChain / LangGraph, dbt, Airflow / Apache Hop, Docker, Weights & Biases, OpenTelemetry.
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Why Join
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- Work on one of the hardest problems in software: AI reasoning over ERP data
- Small, elite team focused on shipping fast
- Access to frontier AI models and large-scale compute
- High ownership and minimal bureaucracy
- Build systems that replace legacy enterprise workflows with autonomous agents
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If you want to help build the autonomous data engines that power next-generation enterprise software, we’d love to talk.
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Pay Rate: $120k-200k, depending on candidate's expertise and experience
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Application Process: This role is open exclusively to candidates applying directly. Submissions from recruiters, agencies, or other third-party sources will not be considered.