Sr. AI Software Engineer

Descripción del puesto:

About the Role_

Join our client and help power one of the industry’s most trusted vehicle data platforms. You’ll design and build high-scale, cloud-native systems that process millions of vehicle history and transaction requests daily , supporting major partners across dealerships, lenders, marketplaces, and enterprise platforms (e.g., Carvana, Cox Automotive, Cars.com, and others). This role blends modern distributed systems engineering with AI-assisted development and emerging agentic workflows , giving you the opportunity to shape both core platform architecture and the next generation of intelligent engineering practices.

A day in this role_

• Own the design and delivery of high-performance, low-latency APIs and microservices powering vehicle history (VHR), VIN intelligence, and transaction systems.
• Build and scale Java/Spring Boot services in a cloud-native AWS environment , handling high-throughput, real-time workloads.
• Architect and implement event-driven systems using Kafka/SQS to support asynchronous processing and data pipelines.
• Lead development of complex features, platform enhancements, and proof-of-concepts that drive business impact.
• Contribute to and influence system architecture, scalability, and reliability decisions across services.
• Implement and improve CI/CD pipelines, automated testing, and observability (logging, tracing, performance tuning).
• Collaborate closely with product, data, and partner teams to deliver mission-critical integrations and APIs .
• Participate in full SDLC ownership: design → build → deploy → operate (“you build it, you own it”).
• Mentor engineers and contribute to a strong engineering culture through code reviews and technical leadership .

AI-Assisted Engineering & Agentic Systems (Required)

• Leverage tools like GitHub Copilot, Codex, Cursor, and Claude Code to accelerate development, testing, and documentation.
• Design and integrate AI-assisted workflows and agent-driven capabilities into engineering processes and/or production systems.
• Build or support intelligent features (e.g., automation, recommendations, data enrichment, or decisioning) using AI models and APIs.
• Develop tool-integrated agent workflows , including prompt design, multi-step orchestration, and API-based task execution (e.g., MCP or similar patterns).
• Evaluate and productionize AI-generated outputs, ensuring code quality, security, and compliance with enterprise standards .
• Optimize AI-powered solutions for latency, cost, reliability, and observability in production environments.
• Apply foundational knowledge of embeddings, fine-tuning, and dataset preparation to adapt AI capabilities to real-world business use cases.

The expertise requested_

• Bachelor’s degree in computer science, Software Engineering, or related field (or equivalent experience).
• 10+ years (or equivalent experience) building large-scale, distributed, high-volume transactional systems .
• Strong expertise in Java, Spring Boot, microservices architecture, and REST API design .
• Hands-on experience with AWS (compute, storage, containers, networking, security, monitoring).
• Experience building event-driven architectures (Kafka, SQS, ActiveMQ, or similar).
• Strong experience with observability tools (e.g., Splunk, Dynatrace, Datadog) for debugging and performance optimization.
• Front-end experience with React, JavaScript, HTML/CSS (full-stack capability preferred).
• Experience with PostgreSQL/DB2 and database performance tuning.
• Solid understanding of Agile, SDLC, and modern engineering best practices .
• Experience with Infrastructure as Code (Terraform, CloudFormation, or similar)

Desired or nice to have expertise_

• Experience working with automotive data, VIN decoding, or vehicle lifecycle systems .
• Familiarity with high-availability systems (99.9%+ uptime) and strict latency SLAs.
• Experience integrating with enterprise partners or external APIs at scale .
• Exposure to AI/ML platforms or deploying AI-powered features in production .

Our Core values are focus to inclusion and diversity, all qualified applicants will be considered for employment and will go thru a fair recruitment process regardless of their race, religion, gender identity, sexual orientation, national origin or disability status.