{"schemaVersion":"jobsearcher.job.v1","id":"8fc205853ba4b8d70a2bc239","url":"https://jobsearcher.com/jobs/8fc205853ba4b8d70a2bc239","canonicalUrl":"https://jobsearcher.com/jobs/8fc205853ba4b8d70a2bc239","title":"AI Engineer","description":"Salary Range: $130,000.00 To $160,000.00 Annually\n\nLocation: Centennial, CO (In-Office)\nCompany: Yield Solutions Group\nReports to: AI / Data Lead\n\nThe Opportunity\nYield 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.\n\nThis 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.\n\nThis is a production-focused role. You will own systems that run on real loan volume, influence real borrower outcomes, and operate under the SLA expectations of our lender partners. The work is high-visibility, the feedback loop is short, and the roadmap is yours to help shape.\n\nWhat You’ll Do\nThe AI Engineer is responsible for designing, building, and maintaining AI-powered systems across the borrower journey, lender pipeline, and internal operations. Responsibilities span four domains.\n\nPartner with the CTO and product leadership to define the AI roadmap, prioritize use cases, and align engineering investment to business outcomes.\n\nTranslate operational problems into well‑scoped ML and AI problem statements. Own the solution architecture from initial design through production deployment.\n\nEstablish internal standards for AI development, including model evaluation frameworks, validation protocols, and responsible deployment practices.\n\nPresent technical findings, tradeoffs, and recommendations clearly to non‑technical stakeholders, including operations leadership, lender partners, and executive teams.\n\nDiscovery & Execution\n\nBuild and deploy LLM‑powered tools, machine learning models, and automation pipelines that improve application processing speed, decisioning accuracy, and borrower experience.\n\nDesign and implement data pipelines supporting model training, feature engineering, and real‑time inference at production scale.\n\nRun structured experiments, define success metrics before testing begins, and document outcomes regardless of result.\n\nOwn model performance post‑launch. Build monitoring, alerting, and retraining workflows that keep systems reliable as data and conditions change.\n\nGrowth & Optimization\n\nIdentify underperforming AI systems and drive measurable, documented improvements.\n\nEvaluate new tools, frameworks, and model architectures against real business criteria. Distinguish signal from noise in a fast‑moving space.\n\nCollaborate with DevOps and Data teams to improve infrastructure for model serving, versioning, and CI/CD integration.\n\nContribute to engineering culture through code reviews, internal documentation, and knowledge sharing across the Technology Department.\n\nPartnership & Compliance\n\nWork with Compliance and Operations to ensure AI outputs meet Colorado regulatory requirements applicable to consumer lending and adverse action standards.\n\nPartner with lender integration teams to understand how AI‑driven outputs are consumed and acted on downstream.\n\nSupport audit and explainability requirements for any model that influences credit‑adjacent workflows.\n\nIdentify and elevate model risk proactively, including data dependency fragility, distributional drift, and edge‑case failure modes.\n\nRequired Skills & Experience\n\n3+ years of professional experience building and deploying ML or AI systems in production environments.\n\nStrong Python proficiency with clean, maintainable, production‑grade code standards.\n\nHands‑on experience with LLMs, including context engineering, fine‑tuning, retrieval‑augmented generation (RAG), agent harnesses, and LLM observability.\n\nProficiency with ML tooling: PyTorch/TensorFlow, or comparable libraries.\n\nExperience with cloud platforms (AWS, GCP, or Azure) and model deployment infrastructure.\n\nSolid data engineering fundamentals: SQL, ETL pipelines, feature engineering, and data validation.\n\nDemonstrated ability to evaluate model performance rigorously, with working knowledge of bias/variance tradeoff, drift, and distributional shift.\n\nClear written and verbal communication, including the ability to explain model behavior and failure modes to non‑technical audiences.\n\nNice to Have\n\nExperience with auto lending, auto refinancing, or consumer credit products.\n\nFamiliarity with loan origination systems (LOS), credit decisioning, or lending infrastructure.\n\nExpertise with creating custom skills, plugins, slash commands, hooks, or MCP servers to encode team workflows and standards.\n\nTechnical fluency with APIs, integrations, or platform‑based products.\n\nExperience working with external partners or B2B clients in a product‑led organization.\n\nBase Salary: $130,000 - $160,000 annually, commensurate with experience\n\nBonus: Performance‑based incentives tied to company and individual goals\n\nBenefits: 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.\n\nEqual Opportunity Statement\nYield Solutions Group is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants.\n\n#J-18808-Ljbffr","company":"Yieldsolutionsgroupllc","rawCompany":"yieldsolutionsgroupllc","city":"Centennial","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-06-30T03:13:23.175Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"522291","title":"Consumer Lending","slug":"consumer-lending"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"Salary Range: $130,000.00 To $160,000.00 Annually\n\nLocation: Centennial, CO (In-Office)\nCompany: Yield Solutions Group\nReports to: AI / Data Lead\n\nThe Opportunity\nYield 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.\n\nThis 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.\n\nThis is a production-focused role. You will own systems that run on real loan volume, influence real borrower outcomes, and operate under the SLA expectations of our lender partners. The work is high-visibility, the feedback loop is short, and the roadmap is yours to help shape.\n\nWhat You’ll Do\nThe AI Engineer is responsible for designing, building, and maintaining AI-powered systems across the borrower journey, lender pipeline, and internal operations. Responsibilities span four domains.\n\nPartner with the CTO and product leadership to define the AI roadmap, prioritize use cases, and align engineering investment to business outcomes.\n\nTranslate operational problems into well‑scoped ML and AI problem statements. Own the solution architecture from initial design through production deployment.\n\nEstablish internal standards for AI development, including model evaluation frameworks, validation protocols, and responsible deployment practices.\n\nPresent technical findings, tradeoffs, and recommendations clearly to non‑technical stakeholders, including operations leadership, lender partners, and executive teams.\n\nDiscovery & Execution\n\nBuild and deploy LLM‑powered tools, machine learning models, and automation pipelines that improve application processing speed, decisioning accuracy, and borrower experience.\n\nDesign and implement data pipelines supporting model training, feature engineering, and real‑time inference at production scale.\n\nRun structured experiments, define success metrics before testing begins, and document outcomes regardless of result.\n\nOwn model performance post‑launch. Build monitoring, alerting, and retraining workflows that keep systems reliable as data and conditions change.\n\nGrowth & Optimization\n\nIdentify underperforming AI systems and drive measurable, documented improvements.\n\nEvaluate new tools, frameworks, and model architectures against real business criteria. Distinguish signal from noise in a fast‑moving space.\n\nCollaborate with DevOps and Data teams to improve infrastructure for model serving, versioning, and CI/CD integration.\n\nContribute to engineering culture through code reviews, internal documentation, and knowledge sharing across the Technology Department.\n\nPartnership & Compliance\n\nWork with Compliance and Operations to ensure AI outputs meet Colorado regulatory requirements applicable to consumer lending and adverse action standards.\n\nPartner with lender integration teams to understand how AI‑driven outputs are consumed and acted on downstream.\n\nSupport audit and explainability requirements for any model that influences credit‑adjacent workflows.\n\nIdentify and elevate model risk proactively, including data dependency fragility, distributional drift, and edge‑case failure modes.\n\nRequired Skills & Experience\n\n3+ years of professional experience building and deploying ML or AI systems in production environments.\n\nStrong Python proficiency with clean, maintainable, production‑grade code standards.\n\nHands‑on experience with LLMs, including context engineering, fine‑tuning, retrieval‑augmented generation (RAG), agent harnesses, and LLM observability.\n\nProficiency with ML tooling: PyTorch/TensorFlow, or comparable libraries.\n\nExperience with cloud platforms (AWS, GCP, or Azure) and model deployment infrastructure.\n\nSolid data engineering fundamentals: SQL, ETL pipelines, feature engineering, and data validation.\n\nDemonstrated ability to evaluate model performance rigorously, with working knowledge of bias/variance tradeoff, drift, and distributional shift.\n\nClear written and verbal communication, including the ability to explain model behavior and failure modes to non‑technical audiences.\n\nNice to Have\n\nExperience with auto lending, auto refinancing, or consumer credit products.\n\nFamiliarity with loan origination systems (LOS), credit decisioning, or lending infrastructure.\n\nExpertise with creating custom skills, plugins, slash commands, hooks, or MCP servers to encode team workflows and standards.\n\nTechnical fluency with APIs, integrations, or platform‑based products.\n\nExperience working with external partners or B2B clients in a product‑led organization.\n\nBase Salary: $130,000 - $160,000 annually, commensurate with experience\n\nBonus: Performance‑based incentives tied to company and individual goals\n\nBenefits: 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.\n\nEqual Opportunity Statement\nYield Solutions Group is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants.\n\n#J-18808-Ljbffr","datePosted":"2026-06-30T03:13:23.175Z","dateModified":"2026-06-30T03:13:23.175Z","hiringOrganization":{"@type":"Organization","name":"Yieldsolutionsgroupllc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Centennial","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8fc205853ba4b8d70a2bc239"},"url":"https://jobsearcher.com/jobs/8fc205853ba4b8d70a2bc239"}}