AI Engineer

The Opportunity

Yield Solutions Group (dba RefiJet) is one of the country's largest auto-refinance BPOs, processing more than 15,000 applications per month across a network of 30+ lending partners. We operate at the intersection of financial services, technology, and customer experience, and AI is central to how we plan to scale all three.

This role sits inside our Technology Department, which consolidates Product, Development, DevOps, AI/Data, IT, and Support under a single leadership structure. The AI Engineer reports directly to the AI / Data Lead and works across the full stack of AI development: data pipelines, model development, LLM tooling, and production deployment.

What You'll Do

• Partner with the CTO and product leadership to define the AI roadmap, prioritize use cases, and align engineering investment to business outcomes.
• Translate operational problems into well-scoped ML and AI problem statements. Own the solution architecture from initial design through production deployment.
• Establish internal standards for AI development, including model evaluation frameworks, validation protocols, and responsible deployment practices.
• Present technical findings, tradeoffs, and recommendations clearly to non-technical stakeholders, including operations leadership, lender partners, and executive teams.
• Build and deploy LLM-powered tools, machine learning models, and automation pipelines that improve application processing speed, decisioning accuracy, and borrower experience.
• Design and implement data pipelines supporting model training, feature engineering, and real-time inference at production scale.
• Run structured experiments, define success metrics before testing begins, and document outcomes regardless of result.
• Own model performance post-launch. Build monitoring, alerting, and retraining workflows that keep systems reliable as data and conditions change.
• Identify underperforming AI systems and drive measurable, documented improvements.
• Evaluate new tools, frameworks, and model architectures against real business criteria. Distinguish signal from noise in a fast-moving space.
• Collaborate with DevOps and Data teams to improve infrastructure for model serving, versioning, and CI/CD integration.
• Contribute to engineering culture through code reviews, internal documentation, and knowledge sharing across the Technology Department.
• Work with Compliance and Operations to ensure AI outputs meet Colorado regulatory requirements applicable to consumer lending and adverse action standards.
• Partner with lender integration teams to understand how AI-driven outputs are consumed and acted on downstream.
• Support audit and explainability requirements for any model that influences credit-adjacent workflows.
• Identify and escalate model risk proactively, including data dependency fragility, distributional drift, and edge-case failure modes.

Required Skills & Experience

• 3+ years of professional experience building and deploying ML or AI systems in production environments.
• Strong Python proficiency with clean, maintainable, production-grade code standards.
• Hands-on experience with LLMs, including context engineering, fine-tuning, retrieval-augmented generation (RAG), agent harnesses, and LLM observability.
• Proficiency with ML tooling: PyTorch/TensorFlow, or comparable libraries.
• Experience with cloud platforms (AWS, GCP, or Azure) and model deployment infrastructure.
• Solid data engineering fundamentals: SQL, ETL pipelines, feature engineering, and data validation.
• Demonstrated ability to evaluate model performance rigorously, with working knowledge of bias/variance tradeoff, drift, and distributional shift.
• Clear written and verbal communication, including the ability to explain model behavior and failure modes to non-technical audiences.

Nice to Have

• Experience with auto lending, auto refinancing, or consumer credit products.
• Familiarity with loan origination systems (LOS), credit decisioning, or lending infrastructure.
• Expertise with creating custom skills, plugins, slash commands, hooks, or MCP servers to encode team workflows and standards.
• Technical fluency with APIs, integrations, or platform-based products.
• Experience working with external partners or B2B clients in a product-led organization.

Compensation & Benefits

Base Salary: $130,000 - $160,000 annually, commensurate with experience
Bonus: Performance-based incentives tied to company and individual goals
Benefits: Comprehensive benefits including health, dental, vision, life insurance, 401(k), PTO, career development opportunities, and the chance to join Denver's Best Place to Work (2024 and 2025) with a dynamic culture focused on internal promotion and employee growth.

Equal Opportunity Statement

We are committed to creating an inclusive environment for all employees and applicants.