Forward Deployed AI Engineer

🔥 0 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI 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

• Lead technical discovery with clients to understand their systems, data, workflows, security requirements, and technical challenges • Translate business needs and approved architectures into clear technical plans, implementation priorities, and deployment activities • Develop and integrate production-ready solutions using APIs, enterprise applications, cloud services, data platforms, and AI technologies • Collaborate with AI Engineers, Software Engineers, Data Engineers, and Architects to coordinate technical implementation and resolve integration challenges • Own technical deployment and rollout within the agreed scope, ensuring solutions operate reliably in client environments • Work closely with client teams during implementation, resolve technical issues, support adoption, and enable users to operate deployed solutions • Track technical delivery progress, production performance, costs, and measurable outcomes while documenting solutions and reusable engineering practices

🎯 Requirements

• Strong hands-on experience developing, integrating, and deploying production software, AI, data, or cloud solutions • Experience writing, debugging, and maintaining production-quality code • Experience integrating enterprise applications, APIs, data sources, authentication systems, and cloud services • Proven ability to translate technical requirements into implementation plans and production deployments • Experience working directly with clients or business stakeholders while maintaining technical ownership • Strong communication skills, including the ability to explain technical decisions, risks, and implementation challenges to technical and non-technical audiences • Strong programming skills in at least one relevant language, such as Python, TypeScript/JavaScript, Java, or C#/.NET • Experience with REST APIs, webhooks, enterprise integrations, and backend services • Hands-on experience with at least one major cloud ecosystem, such as AWS, Azure, or GCP • Understanding of software engineering practices, including Git, testing, CI/CD, containers, and production monitoring • Familiarity with AI/GenAI technologies, including LLM APIs, RAG, AI agents, and AI-enabled workflows • Knowledge of application security, authentication, identity management, and production deployment practices • Advanced experience building GenAI applications, RAG systems, or agentic workflows • Experience with frameworks and tools such as LangGraph, MCP, OpenAI, Anthropic, or comparable technologies • Background in backend, full-stack, data, or cloud/platform engineering • Experience designing solutions for complex enterprise or regulated environments • Consulting or professional services experience with multiple clients • Experience in Forward Deployed Engineering, Customer Engineering, or other client-embedded technical roles

🏖️ Benefits

• 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