Senior AI Engineer (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Engineer (Fintech): Building and deploying AI-powered financial applications using LLMs and RAG with an accent on automating financial processes and generating actionable insights. Focus on integrating AI architectures with enterprise planning platforms like Workday Adaptive Planning and Anaplan to drive business value.
Location: Montevideo, Uruguay (Onsite)
Company
is a premier AI services provider dedicated to co-creating meaningful impact for clients through data science, AI, and technology.
What you will do
- Design and deploy AI-powered applications using LLMs, RAG, and intelligent agents for financial use cases.
- Develop AI workflows to analyze multidimensional financial data and generate automated insights.
- Build integrations between AI solutions and enterprise planning platforms like Workday Adaptive Planning, CaptivateIQ, or Anaplan.
- Develop automation pipelines for variance analysis, financial forecasting, and reporting.
- Translate complex business requirements from Finance and Revenue Operations into scalable Python and SQL solutions.
- Collaborate with Finance Directors and executive stakeholders to deliver AI-driven solutions.
Requirements
- 4+ years of experience in software, AI, or data engineering.
- At least 2 years of hands-on experience building AI or ML applications.
- Strong proficiency in Python and SQL.
- Experience with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases.
- Deep understanding of Corporate Finance, FP&A, and SaaS financial metrics.
- Advanced English level required for communication.
Nice to have
- Experience with ERP platforms like NetSuite or Workday Financials.
- Background in B2B SaaS or technology companies.
- Experience with cloud data platforms like Snowflake or BigQuery.
- Consulting or solutions architecture background.
Culture & Benefits
- Flexible working options.
- Provided equipment including Macbook.
- Learning opportunities including AWS certifications and study plans.
- On-site perks including daily lunches, snacks, and beverages.
- Active social culture with sports leagues, game nights, and music events.
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