Staff AI Engineer (SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff AI Engineer (SaaS): Leading the engineering team in Colombia to build and deploy production-grade AI systems with an accent on agentic workflows, RAG pipelines, and complex document processing. Focus on mentoring engineers, driving architectural decisions, and delivering high-impact AI solutions that drive measurable business outcomes for clients.
Location: Must be based in Colombia with reliable overlap with US business hours.
Salary: $7,000 – $8,000 per month.
Company
is an AI strategy and integration firm that builds production-ready AI systems for B2B companies in sectors like private equity, lending, and real estate.
What you will do
- Manage and mentor the Colombia engineering team, overseeing technical growth and code quality.
- Drive architecture decisions for agentic workflows, RAG pipelines, and production automation.
- Stay hands-on with complex client builds, from LLM orchestration to cloud infrastructure.
- Translate ambiguous business problems into concrete system designs and delivery plans.
- Collaborate with clients to explain technical trade-offs and system progress.
- Establish engineering standards through rigorous code reviews and pairing.
Requirements
- 8+ years of software engineering experience, including 2+ years building production LLM-powered systems.
- Expert-level Python proficiency and strong full-stack fundamentals.
- Production cloud experience (AWS, GCP, or Azure).
- Deep knowledge of the modern AI stack: prompt engineering, evaluation, embeddings, and vector search.
- Fluent English with the ability to communicate complex technical concepts to non-technical stakeholders.
- Must be based in Colombia with availability during US business hours.
Culture & Benefits
- AI-native culture with access to frontier models via partnerships with OpenAI and Anthropic.
- High autonomy in a bootstrapped, profitable, and fast-growing environment.
- Focus on real-world impact and production-grade systems.
- Small, accountable team structure with minimal bureaucracy.
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