Senior AI Software Engineer

🕒 Yesterday

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Design and build high-scale, cloud-native systems processing millions of vehicle history and transaction requests daily • Own the design and delivery of high-performance, low-latency APIs and microservices for vehicle history, VIN intelligence, and transaction systems • Build and scale Java/Spring Boot services in AWS for high-throughput, real-time workloads • Architect and implement event-driven systems using Kafka/SQS for asynchronous processing and data pipelines • Lead complex features, platform enhancements, and proof-of-concepts • Influence system architecture, scalability, and reliability decisions • Implement and improve CI/CD pipelines, automated testing, observability, logging, tracing, and performance tuning • Collaborate with product, data, and partner teams on mission-critical integrations and APIs • Own the full software development lifecycle from design through operation • Mentor engineers through code reviews and technical leadership • Leverage AI-assisted development tools and integrate agent-driven capabilities into engineering processes or production systems • Build intelligent features using AI models and APIs • Evaluate and productionize AI-generated outputs • Optimize AI-powered solutions for latency, cost, reliability, and observability

🎯 Requirements

• 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) • Experience working with automotive data, VIN decoding, or vehicle lifecycle systems (desired or nice to have) • Familiarity with high-availability systems (99.9%+ uptime) and strict latency SLAs (desired or nice to have) • Experience integrating with enterprise partners or external APIs at scale (desired or nice to have) • Exposure to AI/ML platforms or deploying AI-powered features in production (desired or nice to have) • Required use of GitHub Copilot, Codex, Cursor, and Claude Code • Knowledge of embeddings, fine-tuning, and dataset preparation • Experience with prompt design, multi-step orchestration, API-based task execution, and MCP or similar patterns • Ability to ensure AI-generated outputs meet enterprise quality, security, and compliance standards

🏖️ Benefits

• Trabajo remoto • Entorno que respalda el balance de la vida personal y laboral • Equipos multidisciplinarios • Equipo global diverso y atmósfera de aprendizaje y crecimiento personal • Plan de carrera personalizado • Programas de formación • Proyectos de alto impacto con clientes líderes de la industria