Senior AI Engineer

- Design, build, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agents for financial use cases. - Develop AI workflows capable of analyzing multidimensional financial data and generating automated financial insights and recommendations. - Build integrations between AI solutions and enterprise planning platforms such as Workday Adaptive Planning, CaptivateIQ, or Anaplan. - Develop automation pipelines that perform variance analysis, financial forecasting, and narrative generation for monthly and quarterly reporting. - Translate complex business requirements from Finance, FP&A, and Revenue Operations teams into scalable Python- and SQL-based solutions. - Design semantic layers and AI workflows that support financial planning, incentive compensation, and operational reporting. - Collaborate with Finance Directors and executive stakeholders to understand business needs and deliver AI-driven solutions. - Ensure AI solutions comply with corporate governance, security standards, data access policies, and SOC2 requirements. - Optimize prompt engineering strategies and AI model performance to maximize accuracy and business value. - Continuously evaluate emerging AI technologies and recommend improvements to financial automation capabilities. - 4+ years of experience in software engineering, AI engineering, data engineering, or related technical roles. - At least 2 years of hands-on experience building AI or Machine Learning applications. - Strong proficiency in Python and SQL. - Experience working with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar. - Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures. - Strong prompt engineering and AI workflow design experience. - Proven experience working with Corporate Finance, FP&A, Accounting, Revenue Operations, or similar business functions. - Deep understanding of SaaS financial metrics including ARR, NRR, deferred revenue, budgeting, forecasting, and incentive compensation. - Knowledge of GAAP principles and three-statement financial modeling. - Experience integrating enterprise planning platforms such as: - Workday Adaptive Planning - CaptivateIQ - Anaplan - Ability to communicate technical concepts effectively to executive and non-technical stakeholders. - Strong analytical thinking and problem-solving skills. - Experience working in remote and cross-functional teams. Nice to have: - Experience within B2B SaaS or technology companies. - Experience with NetSuite, Workday Financials, or other ERP platforms. - Experience with Snowflake, BigQuery, dbt, or modern cloud data platforms. - Background as a consultant, solutions architect, or independent contractor. - Experience designing AI-powered automation for finance organizations. What about languages? Advanced English level is required for written and verbal communication. How much experience must I have? At least 4 years of professional experience building and deploying AI, ML, or software solutions in production environments. Our perks and benefits: 🍔 Every day lunches! (headquarters): - Vegetarian, vegan, gluten and sugar free options. - Gourmet meals every Friday with our on-site chef! ⚖️ Flexible working options to help you strike the right balance. 👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories). ☕ Snacks and beverages available everyday (headquarters). 🎮 After office events, football, tennis and game nights (headquarters). ⚽️ Everyone is welcome to join our football league every Wednesday’s and Friday’s. Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches. Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join! 📚 Learning opportunities: - AWS Certifications (we are AWS Partners). - Study plans, courses and