ML/AI Engineer (B2B SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
ML/AI Engineer (B2B SaaS): Building and scaling intelligent systems for wholesale distribution workflows with an accent on LLM integration, RAG pipelines, and production-grade AI features. Focus on owning the full ML lifecycle, from experimentation to deployment and monitoring, to drive measurable business value in a high-growth environment.
Location: Must be based in Argentina, Colombia, or Uruguay
Company
builds software for wholesale distributors, helping them operate more efficiently through automation and AI.
What you will do
- Design, build, and deploy AI-powered product features across core workflows.
- Develop and maintain LLM-powered systems, including agents, retrieval pipelines (RAG), and workflow automation.
- Build machine learning models for operational use cases such as classification, forecasting, and anomaly detection.
- Own the full lifecycle of ML systems: data pipelines, experimentation, training, evaluation, deployment, and production monitoring.
- Collaborate with product and engineering teams to identify high-impact AI opportunities and integrate systems into product workflows.
- Establish best practices for prompt engineering, model evaluation, and cost optimization.
Requirements
- 4+ years of software engineering experience with significant exposure to machine learning or applied AI.
- Strong backend engineering fundamentals and experience building scalable production systems.
- Hands-on experience shipping ML or LLM-powered products into production.
- Proficiency with Python and modern ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Experience working with LLM APIs and tooling like OpenAI, Anthropic, LangChain, or LlamaIndex.
- Must be based in Argentina, Colombia, or Uruguay.
Nice to have
- Experience building AI systems for ERP systems or B2B SaaS.
- Familiarity with document intelligence (OCR, extraction, classification).
- Experience fine-tuning models or working with open-source LLMs.
- Previous experience at high-growth startups.
Culture & Benefits
- Remote-first and flexible work environment.
- Opportunity to define AI strategy in a mission-critical B2B platform.
- Collaborative team culture focused on ownership, transparency, and continuous improvement.
- Work with a distributed team across North and South America.
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