AI extraction pipelines
- Design, build, and maintain multi-stage document-extraction pipelines that combine deterministic rule-based logic with LLM-powered extraction, orchestrated as durable, resumable workflows.
- Integrate cloud document AI services and LLMs for classification and extraction.
- Own prompt engineering and structured-output design, ensuring outputs are strongly typed (Pydantic), validated, and fully traceable to source documents.
Structured data, mapping, and validation
- Extract and normalize retrieved information, classify document and pricing structures, and map results to downstream schemas.
- Handle document variations and amendments while preserving provenance (page/section references) for reviewer traceability.
- Develop and tune automated validation and business-rule checks that detect non-compliant claims.
Enterprise systems integration
- Integrate with enterprise source-of-truth systems — SAP (OData), Snowflake, and Cosmos DB — to enrich, validate, and persist results.
- Preserve data lineage across systems so every decision is auditable.
WHAT WE ARE LOOKING FOR-
- Strong Python: typed, well-tested, production quality.
- Hands-on LLM application engineering — prompt design, structured outputs, and evaluation frameworks, not just calling an API.
- A strong evaluation and measurement mindset: designing datasets and metrics, reasoning about precision/recall trade-offs on real data, confidence calibration, and drift detection — able to prove a system works, not just build it.
- Experience with cloud AI services (Azure preferred).
- Data-wrangling with pandas (or equivalent) and working with SQL.
- Git-based collaboration, code review, and CI/CD (GitLab a plus).
- Experience working with agentic setup/ agentic development workflows.
- Awareness of secure handling of sensitive enterprise data (secrets management, least-privilege auth) a plus.
- Experience with recommender-system algorithms and/or retrieval-augmented generation (RAG) viewed favourably — we have a recommender-oriented project starting up alongside the document-AI work.
TECH ENVIRONMENT
Python | Azure (Document Intelligence, OpenAI, Machine Learning, Functions) | Pydantic | MLflow | SQL — Snowflake & Cosmos DB | Streamlit & Power BI | OpenTelemetry / Grafana | GitLab CI/CD
Regards,
Reshu Seth
Recruitment Consultant
Renaissance InfoSystem
M: +61 478 487 026
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W:http://www.reninfo.com.au
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