AI Engineer
T12 TECHNOLOGIES LLC
Job Description
Job Description
Benefits:
- Flexible schedule
- Opportunity for advancement
- Training & development
T12 Technologies LLC is a Maryland-based technology services firm delivering cloud, AI and automation, cybersecurity, contact center, and back-office modernization to federal, state, healthcare, and commercial clients. We are staffing a finance automation program for a commercial client: an accounts payable and vendor payment build on Oracle NetSuite, with an AI-enabled invoice extraction layer in Texas. You are the builder. Working to the architect's design, you construct the Claude workflows that read invoices, extract and validate line-level data, apply GL coding rules, and route approvals — then tune them against live invoice volume during a parallel-run pilot until they hold up on real edge cases. This role also owns validation: there is no separate QA engineer on this program, so building the evaluation harness and proving accuracy against ground truth is part of the job. Scope of work
- Invoice automation build. Build Claude invoice intake, extraction and GL coding workflows, tuned against the client's historical coding patterns and vendor mix.
- Confidence tiers. Configure auto-approve versus exception routing and implement human-in-the-loop thresholds for high-value transactions.
- Prompt engineering. Author, test and version the prompt library covering coding, duplicate rationale, exception summaries and anomaly analysis.
- Evaluation harness. Build ground-truth sets from historical invoices, accuracy scoring, and regression checks that run on every change.
- Validation evidence. Validate extraction and coding accuracy against agreed targets and document the results as acceptance evidence.
- Monitoring automation. Build Claude-assisted analysis and duplicate saved searches, producing investigation summaries and disposition drafts.
- Reporting workflow. Build a budget-versus-actual variance commentary workflow for the finance team.
- Go-live. Support cutover, capture baseline metrics, and participate in post-implementation hypercare.
There is no universal certification for this role, so we verify through evidence of delivered work instead. References are contacted before any contract is issued.
- Two references minimum, three preferred, from production LLM work you personally built. Demos, pilots and proofs of concept do not qualify.
- For each reference: name, current title, organization, direct phone or email, the project you worked on together, and their role on it
- If you hold Anthropic, cloud provider, or ML certifications, list them with credential IDs. We verify them.
- 2+ years building production workflows on LLM APIs — Anthropic Claude strongly preferred — including prompt engineering, structured extraction, and confidence scoring.
- Strong Python and REST API integration; comfort working against a third-party ERP you did not build.
- Document extraction at production quality — invoices, forms, contracts, or similar semi-structured documents.
- Demonstrated experience building evaluation sets and regression suites for non-deterministic output; you can tell a genuine accuracy gain from noise.
- Structured output and schema validation with real handling for malformed or low-confidence results.
- Disciplined prompt iteration against real data rather than synthetic happy-path examples.
- Legal authorization to work in the United States as an independent contractor.
- SuiteScript 2.x or prior NetSuite / ERP integration experience.
- AP, finance, or accounting document processing background.
- OCR and document-capture pipelines.
- Experience on a team where an architect owns the design and you own the build.
Flexible work from home options available.
Vacancy posted 14 days ago
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