AI Platform Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

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Logo of Katapult Labs

Katapult Labs

11 - 50 employees

Founded 2022

🤝 B2B

🤖 Artificial Intelligence

🎯 Recruiter

B2B • Artificial Intelligence • Recruitment

Katapult Labs is a boutique software development and team-augmentation firm that embeds AI-first, bilingual LATAM engineering pods with U. S. startups to build products from MVP to growth stage. They recruit, vet, payroll, and manage dedicated teams (including fractional CTO support) while handling HR and legal obligations, prioritizing speed, quality, and affordable nearshore talent in U. S. time zones.

📋 Description

• Design, build, and maintain scalable ML, AI, and data-platform services that power production features end-to-end. • Operate LLM applications in production: chat with memory, retrieval, prompt management, versioning, and experimentation. • Build and run structured evaluation pipelines (golden datasets, regression checks) so changes ship with confidence. • Own AI/ML observability and monitoring instrument, trace, and debug model behavior in prod with tools like Langfuse or MLflow (knowing one is enough). • Integrate and serve LLM-agnostic model backends (e.g., Anthropic models via Bedrock and Vertex) and support deterministic/custom ML where open-source models fall short (e.g., document/PDF parsing). • Contribute to data lineage, governance, and compliance as the platform matures. • Partner closely with product and the broader team to move fast without breaking quality.

🎯 Requirements

• Strong software engineering background you've built and run scalable, cloud-native SaaS in production (not just notebooks). • Hands-on experience running LLMs / AI systems in production: prompting, evaluation, observability, monitoring. • AI-native workflow fluency you build with AI coding tools every day and know how to *drive* them, not take orders from them. • Solid Python and comfort across the stack (backend-leaning is fine). • Experience with data pipelines and ML/AI infrastructure on GCP or AWS. • Strong written and spoken English; comfortable operating on US hours and embedded in a client team.

🏖️ Benefits

• Work from Anywhere in Latin America • 23 Days of PTO per Year • USA Federal Holidays • Monthly Payment in USD • Contractor Agreement with No End Date • BYOD (Bring Your Own Device) • Health Insurance Stipend

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