Senior Software Engineer, AI

🕒 May 20

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 45%

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

• 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.

🎯 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). • 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.

🏖️ Benefits

• Flexibilidad: ¡Aquí el equilibrio lo es todo! Ofrecemos un entorno que respalda el balance de la vida personal y laboral y trabajo remoto. • Colaboración: La colaboración es fundamental. Trabajamos en equipos multidisciplinarios, donde cada persona aporta sus habilidades únicas. • Multiculturalidad: Contamos con un equipo global diverso que fomenta una atmósfera de aprendizaje y crecimiento personal. • Desarrollo: Ofrecemos un plan de carrera personalizado, así como programas de formación para desbloquear tu potencial. • Relevancia: Colaboramos con clientes líderes en la industria en proyectos de alto impacto que definen el futuro tecnológico.