> Markdown version of [/jobs/ext/739695-senior-ai-data-engineer](https://www.wearedevelopers.com/jobs/ext/739695-senior-ai-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Data Engineer - **Company:** Accertify, Inc. - **Location:** Itasca, IL, United States - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, User Authentication, Microsoft Azure, Continuous Integration, Customer Data Management, Data Architecture, Information Engineering, Data Infrastructure, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, OAuth, Query Optimization, Tensorflow, Standard Sql, SQL Databases, Systems Integration, Data Processing, Google Cloud, Large Language Models, Prompt Engineering, IT Architecture, Data Layers, Kubernetes, Information Technology, HuggingFace, Free and Open-Source Software, Machine Learning Operations, Virtual Agents, Api Management - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5447c2e70539df8f ## About the Role Do you have experience in SQL?, * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). * 5+ years of production software experience. * Strong proficiency with AI/ML frameworks (OpenAI SDK, Hugging Face transformers, agentic orchestration frameworks). * Strong Python AND strong SQL, both are first-class requirements. Comfortable with query optimization, indexing strategy, and data modeling. * Demonstrated experience designing and operating medallion architectures (bronze/silver/gold) at scale. * Experience handling data at scale, partitioning, batch pipeline design, query performance, and schema evolution. * Production LLM experience, prompt engineering, retrieval (RAG), agentic orchestration, fine-tuning trade-offs. * Experience with vector databases (pgvector, Pinecone, Weaviate, etc.) and production RAG patterns. * Experience with AI observability and evaluation frameworks, OpenTelemetry, Phoenix or equivalent, golden-set eval, and judge-based eval methodology. * Strong understanding of secure system design, authentication, API integrations, and PII-sensitive data handling. * Track record of mentoring engineers and shipping cross-team initiatives. * Strong problem-solving skills and ability to explain technical solutions to non-technical audiences. Preferred Skills * Hands-on experience with Model Context Protocol (MCP), building tools, OAuth flows, or MCP server integrations. * Experience leading data engineering or data platform initiatives end-to-end. * Experience with agentic AI frameworks (e.g., the OpenAI Agents SDK) in production. * Experience deploying production systems across both cloud (AWS, GCP, Azure) and on-prem environments. * Experience in fraud detection, financial services, or other PII-sensitive domains. * Knowledge of MLOps tools and CI/CD for AI. * Open-source contributions, conference talks, or technical writing in the AI/ML space. ## Description We are seeking an experienced Senior AI Engineer to lead the design, development, and deployment of intelligent systems that drive business impact. You will own end-to-end AI solutions, set technical direction, and mentor other engineers, working across machine learning, LLMs, retrieval systems, agentic workflows, and the data layers that feed them. This role requires deep technical expertise and a track record of shipping production AI systems at scale., * AI Architecture: Architect AI systems end-to-end. Set technical direction. Review and mentor others' designs. * LLM Strategy: Define how we use LLMs, routing, agentic orchestration, prompt patterns, fine-tune vs. prompt trade-offs, and model selection. * Production Ownership: Own deployment patterns across on-prem and cloud (Kubernetes, container infrastructure, secure integration). Drive operational excellence. * Data Architecture: Consult on the data layer, medallion design (bronze/silver/gold), RAG retrieval stores, schema evolution, drift detection, and query performance at scale. * Evaluation Framework: Define how we measure AI quality, use golden datasets, conduct judge-based eval, enable production observability (OpenTelemetry, Phoenix, or similar), and perform behavior testing. * Technical Leadership: Mentor AI Engineers, lead code and design reviews, set engineering standards for the AI team, and drive cross-team initiatives with Data Science and Data Engineering teams. * Security & PII: Set the bar for handling sensitive customer data, secure system design, authentication, PII safety, and compliance-aware patterns. * Collaboration: Partner with product managers, data scientists, engineers, and stakeholders to align AI solutions with business needs. ## Related Videos - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) - [The Missing Layer Between Enterprise Data and AI Agents](https://www.wearedevelopers.com/videos/100286-the-missing-layer-between-enterprise-data-and-ai-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)