Sr. AI Software Engineer
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* Design and deliver high-performance APIs and microservices for vehicle history and transaction systems
* Build and scale Java/Spring Boot services in AWS for real-time workloads
* Architect and implement event-driven pipelines using Kafka/SQS
* Lead development of complex features and platform enhancements
* Contribute to architecture for scalability and reliability across services
* Improve CI/CD, observability, testing, and performance tuning
* Collaborate with product, data, and partner teams on integrations
* Own full SDLC: design, build, deploy, operate
* Mentor engineers and foster engineering culture through reviews and leadership
* Integrate AI-assisted workflows and agent-driven capabilities into engineering processes and production systems
* Evaluate AI outputs for quality, security, and compliance; optimize latency and cost for AI-powered solutions
* Apply knowledge of embeddings, fine-tuning, and dataset prep to real-world use cases Requisitos principales
* Bachelor’s degree in CS or related field (or equivalent)
* 10+ years building large-scale distributed systems
* Strong Java and Spring Boot, microservices, REST API design
* Hands-on AWS experience (compute, storage, containers, networking, security, monitoring)
* Experience with event-driven architectures (Kafka, SQS, ActiveMQ)
* Observability tools experience (Splunk, Dynatrace, Datadog)
* Front-end experience with React/JavaScript/HTML/CSS (full-stack preferred)
* PostgreSQL/DB2 and performance tuning
* Solid Agile, SDLC, and modern engineering practices
* Infrastructure as Code (Terraform, CloudFormation)
* collaboration
* mentorship
* communication
* Java
* Spring Boot
* microservices architecture
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