AI/ML Engineer

Listed as a remote role based in Bucharest, Romania. We're seeking a talented AI/ML Engineer to join our growing team and drive the intelligent core of our lending platform. You'll design and deploy machine learning models and develop the AI capabilities that set Capital 33 apart — from credit risk scoring and cash-flow forecasting to automated document analysis and intelligent underwriting. This is your chance to apply cutting-edge AI to real financial problems at a fast-moving FinTech startup where your work directly shapes the product. Key responsibilities: Design, train, and deploy machine learning models for credit risk assessment, borrower scoring, and loan default prediction Build and maintain Prophet-based forecasting pipelines for cash-flow projections and portfolio analytics Architect AI workflows using CrewAI for document extraction, summarization, and automated due diligence Develop RAG (Retrieval-Augmented Generation) systems over financial documents, contracts, and regulatory filings Create and manage feature stores, training pipelines, and model registries to ensure reproducibility and governance Design evaluation frameworks and monitoring systems to track model performance, drift, and fairness in production Collaborate closely with back-end engineers to integrate models into NestJS microservices and real-time decision engines Research and prototype emerging AI techniques — agents, fine-tuning, multi-modal models — and assess their applicability to lending and capital markets Contribute to data strategy, working with BigQuery and MongoDB to ensure high-quality, well-governed training data Required Qualifications: 5+ years of hands-on experience building and deploying ML models in production environments Strong proficiency in Python and the core ML ecosystem (scikit-learn, PyTorch or TensorFlow, pandas, NumPy) Strong knowledge of prompt engineering techniques Solid understanding of classical ML Experience with time-series forecasting (Prophet, ARIMA, or similar) Familiarity with MLOps practices: experiment tracking, model versioning, CI/CD for ML pipelines Working knowledge of SQL and data warehousing concepts Strong fundamentals in statistics, probability, and experimental design Ability to communicate complex technical concepts clearly to non-technical stakeholders Nive to have: Experience in FinTech, credit risk modeling, or financial services Background in NLP — entity extraction, document classification, semantic search Hands-on experience building RAG pipelines and vector search systems (Pinecone, Weaviate, pgvector) Familiarity with fine-tuning and RLHF techniques for LLMs Knowledge of financial compliance, KYC/AML processes, and responsible AI practices Experience with TypeScript/Node.js or willingness to work in a TypeScript-heavy back-end environment Exposure to cloud-native ML infrastructure (Azure ML, Vertex AI, or SageMaker) Understanding of event-driven architectures and real-time inference patterns Experience with agent frameworks (LangChain, LangGraph, CrewAI, or similar) Tech Stack Highlights AI/ML: OpenAI, Claude, Llama, DeepSeek, Prophet, scikit-learn, PyTorch Data: Clickhouse,, MongoDB Backend: TypeScript, Python What we offer: A competitive and motivating income that recognizes and values your contributions. Opportunity to work on cutting-edge AI and FinTech challenges Flexible work schedule to promote work-life balance and accommodate your personal needs. Embrace a non-corporate and cozy work environment, where collaboration and creativity flourish. Modern tech stack with freedom to explore new technologies Direct impact on product direction and technical architecture Collaborative environment Regular team events and offsites Ample opportunities for professional growth and development, empowering you to reach new heights in your career. Hiring Process: Initial screening (20 minutes) Technical test (90 minutes) Cultural fit interview with leadership (45 minutes) Reference checks and offer How to Apply: Send your CV and a brief note about why you're excited to work at the intersection of AI and FinTech to careers@capital33.com Please include: Links to your GitHub/GitLab profile Examples of ML models or AI systems you've built and deployed Your experience with our tech stack What interests you most about applying AI to financial services About Capital 33 Capital 33 is a next-generation merchant bank focused on two core services: capital raising and direct lending for mid-market and large enterprises. We support every stage of corporate growth—from day-to-day working-capital needs to multi-year investment programs—leveraging deep expertise in structured finance, syndicated loans, private debt, and project finance. We're building the future of FinTech by combining cutting-edge artificial intelligence with deep financial expertise to provide startups with the capital they need to grow. Capital 33 is an equal opportunity employer committed to building a diverse and inclusive team. We welcome applications from all qualified candidates regardless of race, gender, age, religion, identity, or experience. Show more Show less Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Investment Banking