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# Senior AI Engineer

- **Company:** Insight Global
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Profiling, Data Deduplication, Data Files, Statistical Hypothesis Testing, Information Extraction, Python (Programming Language), Key Management, Machine Learning, PCI Data Security Standards, Management of Software Versions, Large Language Models, Multi-Agent Systems, Prompt Engineering, Caching, Agentic-AI, Event Driven Architecture, Drift Detection
- **Published:** October 22, 2026
- **Apply:** https://dejobs.org/x/x/E1AF7FA353BA40629EDD4F465C84FEC5/job/

## About the Role

* Expert Python: 5+ years of production Python experience, including services the candidate personally operated; experience with async development, typing, Pydantic, packaging, and profiling. * Production AI: Hands-on experience with both production document extraction and retrieval at scale. * AI Evaluation: Personally built an evaluation framework/harness for a non-deterministic system and used the results to make a meaningful production decision. * Measurement & Statistics: Strong understanding of hypothesis testing, confidence intervals, sample sizing, precision/recall/F1, accuracy, variance, and model calibration. * Dataset & Error Analysis: Experience with sampling, annotation, dataset versioning, label quality/agreement, and identifying performance issues hidden within specific data populations. * Production Engineering: Experience with event-driven architectures, idempotency, deduplication, replay/backfill, schema/API evolution, and safe rollout/rollback practices.
 * Regulated Data: Experience appropriately handling sensitive/personal data, including classification, minimization, redaction, retention, least-privilege access, and secrets management. * Agentic AI / AI orchestration experience in production. * Experience managing LLM cost, token usage, and caching. * Online experimentation such as A/B testing, shadow deployments, or similar comparison approaches. * Drift detection and traditional ML experience. * Fine-tuning, adapter training, distillation, or systematic prompt optimization. * Large-scale analytical/data experience. * Experience with FERPA, HIPAA, GDPR, PCI-DSS, or SOX environments. * GCP and Google ADK experience would be a strong plus. * ML experience is beneficial. * Higher education experience is a plus, but not required.

## Description

Position Overview: We are seeking a Senior AI Engineer to build and support production AI solutions involving document intelligence, LLMs, retrieval, evaluation, and agentic AI. This is a hands-on engineering role for someone who has built, operated, measured, and improved AI systems in production, not someone whose experience is primarily research, notebooks, or proof-of-concepts.

The client operates a live document-intelligence platform: multimodal large language models extract structured records from high volumes of unstructured documents, hybrid retrieval reconciles those records against large reference catalogs, and human reviewers adjudicate low-confidence output through internal applications.

We are seeking one senior individual contributor to own the applied-AI and data-science layer end to end - extraction modeling, retrieval quality, and the evaluation and experimentation infrastructure that governs both.