Senior AI Engineer

Job not on LinkedIn

🕒 June 17

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚘 Automotive

🛡️ Insurance

💼 Consulting

Automotive • Insurance • Consulting

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• Design, build, and operate production-grade Generative AI solutions. • Work across data, models, and applications to deliver reliable AI workflows. • Own initiatives end-to-end, including architecture, experimentation, deployment, monitoring, and continuous improvement. • Shape how we apply Generative AI to high-value business problems by building systems that measurably improve customer experience, operational efficiency, and decision quality. • Raise the quality bar for production AI by setting standards for design, safety, evaluation, and operational readiness. • Mentor other engineers and partner with product, data science, and business stakeholders.

🎯 Requirements

• Degree in Computer Science, Data Science, Software Engineering or related field. • At least 8yrs of professional experience with a Bachelor’s degree or 6 yrs with a Graduate degree. • 1-year experience in Generative AI technologies (included in the overall professional experience), or 1-2 relevant certifications. • Logical, practical, and innovative problem-solving skills. • Strong customer-facing communication: able to lead technical discussions, write clear technical documents, and explain solutions to technical and non-technical audiences. • Shipped and operated LLM-enabled features in production, including evaluation, monitoring, and iteration. • Working knowledge of Generative AI quality and safety practices. • Experience building data-intensive systems end-to-end. • Data engineering fundamentals: ingestion/transforms, maintainable schemas, and retrieval/feature pipelines for analytics and AI. • Strong Python and SQL. • Experience integrating services via APIs. • TypeScript or other strongly typed language experience is a plus. • The ability to learn new tools quickly is required. • Hands-on experience with at least one modern data/analytics platform (e.g., Databricks, Snowflake, Palantir Foundry).

🏖️ Benefits

• Not explicitly listed in the job description.