Software Engineer, GenAI Solutions

🔥 41 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

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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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Design, develop, test, and maintain production software applications, backend services, and APIs supporting enterprise and AI-enabled solutions • Integrate AI services, LLM APIs, enterprise applications, databases, and external systems into reliable business workflows • Build secure and scalable application components with attention to performance, authentication, error handling, and maintainability • Implement automated testing, CI/CD pipelines, monitoring, and software engineering practices for production reliability • Troubleshoot application issues, optimize performance, and support deployment and ongoing improvements • Collaborate with AI Engineers, Data Engineers, Architects, and client teams to implement integrations and reusable software components • Work with clients to understand technical requirements, discuss implementation options, and deliver business-aligned solutions

🎯 Requirements

• Strong hands-on experience developing, integrating, and maintaining production software applications, particularly backend services and APIs • Experience designing enterprise integrations and connecting applications with databases, cloud services, and external systems • Experience applying software engineering practices, including testing, version control, CI/CD, and production monitoring • Understanding of application security, scalability, performance, and maintainability in production environments • Strong programming skills in at least one backend ecosystem, such as Java/Spring, Python/FastAPI, Node.js/TypeScript, .NET/C#, or Go • Experience designing and developing REST APIs, backend services, and enterprise application integrations • Hands-on experience with databases, data access patterns, and application-level data processing • Experience with at least one major cloud platform, such as AWS, Azure, or GCP • Knowledge of Git, automated testing, CI/CD, authentication, application security, and production software engineering practices • Experience integrating LLM APIs or AI services into enterprise applications, including OpenAI, Anthropic, Azure AI, or comparable technologies (nice to have) • Familiarity with RAG, AI agents, tool calling, and AI-enabled application workflows (nice to have) • Experience with Docker, Kubernetes, microservices, or distributed application architectures (nice to have) • Experience with event-driven systems, messaging platforms, asynchronous processing, or complex enterprise integrations (nice to have) • Familiarity with observability, infrastructure automation, or cloud-native application development (nice to have) • Experience working directly with clients in consulting or professional services environments (nice to have)

🏖️ Benefits

• 100% remote work • International and multicultural projects • Opportunities to work with leading technologies in Data, Cloud, and AI ecosystems • Access to training programs and continuous professional development • Professional growth opportunities and internal mobility • A culture built on collaboration, innovation, and continuous learning