AI Engineering Lead
Listed on 2026-07-20
-
Software Development
AI Engineer (Applied/Software)
Overview
Job Category
:
Applications and Software Dev
Requisition Number
: AIENG
001087
Location:
Columbia, IL 62236, USA (Hybrid: 4 days in office, 1 day from home after probation)
Position Title
: AI Engineering Lead
Position Location
:
Columbia Illinois-Inline Data Systems- (Hybrid, 4 DAYS in the office 1 DAY from home after probationary period)
Position Status
:
Salary Exempt
Reporting to
:
Director of Software Development
Compensation
: $110,000-$150,000 per year based on experience
Company Summary
:
Inline Data Systems an affiliate of Automotive Product Consultants provides sellers and administrators of extended warranties with a dynamic CRM and F&I tools to support the industry. We’ve built our systems with functionality you need.
Posted
:
July 15, 2026
Job Type
:
Full-Time •
Work Arrangement
:
Hybrid
Basic Purpose and Objective
This position will lead the integration of artificial intelligence capabilities into Inline Data Systems' core software products — the Inline Administration platform and Inline CRM — including AI-driven call center features (automated calling and real-time quoting) and AI-driven automated sales experiences on customer-facing websites. The role also drives the adoption of AI-assisted tools and practices across the software development lifecycle, bridging applied AI/ML engineering with developer enablement to deliver smarter product features and a faster, more productive engineering team.
ResponsibilitiesIdentify, prioritize, and design opportunities to embed AI capabilities into the Inline Administration and Inline CRM platforms, such as intelligent automation, predictive analytics, natural language interfaces, and recommendation or lead-scoring engines. Build and ship AI-powered features, including conversational assistants, automated data classification/entry, anomaly detection, and smart search. Integrate with large language model (LLM) APIs (e.g., Anthropic Claude, OpenAI) and manage prompt design, retrieval-augmented generation (RAG) pipelines, and model fine-tuning where appropriate.
Ensure AI-driven features are accurate, reliable, secure, and compliant with data privacy requirements.
Design and implement AI-driven automated sales experiences on customer-facing websites, including conversational sales assistants, dynamic quoting, and guided checkout flows. Integrate AI calling and website sales features with telephony/contact center platforms (e.g., Twilio, Amazon Connect) and CRM data to personalize offers, pricing, and follow-up. Monitor and continuously improve AI-driven call and website sales conversion performance based on outcome data.
Champion and drive adoption of AI coding assistants (e.g., Claude Code, Git Hub Copilot) across the development team to accelerate coding, code review, testing, and documentation. Establish best practices, guidelines, and internal training for effective use of AI tools throughout the software development lifecycle. Build internal tooling and workflows that apply AI to code generation, automated testing, bug triage, and technical documentation.
Track and report on productivity gains from AI tool adoption, such as cycle time, code review turnaround, and defect rates.
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