AI/ML Engineer

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 predictionBuild and maintain Prophet-based forecasting pipelines for cash-flow projections and portfolio analyticsArchitect AI workflows using CrewAI for document extraction, summarization, and automated due diligenceDevelop RAG (Retrieval-Augmented Generation) systems over financial documents, contracts, and regulatory filingsCreate and manage feature stores, training pipelines, and model registries to ensure reproducibility and governanceDesign evaluation frameworks and monitoring systems to track model performance, drift, and fairness in productionCollaborate closely with back-end engineers to integrate models into NestJS microservices and real-time decision enginesResearch and prototype emerging AI techniques — agents, fine-tuning, multi-modal models — and assess their applicability to lending and capital marketsContribute 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 environmentsStrong proficiency in Python and the core ML ecosystem (scikit-learn, PyTorch or TensorFlow, pandas, NumPy)Strong knowledge of prompt engineering techniquesSolid understanding of classical MLExperience with time-series forecasting (Prophet, ARIMA, or similar)Familiarity with MLOps practices: experiment tracking, model versioning, CI/CD for ML pipelinesWorking knowledge of SQL and data warehousing conceptsStrong fundamentals in statistics, probability, and experimental designAbility to communicate complex technical concepts clearly to non-technical stakeholders Nive to have: Experience in FinTech, credit risk modeling, or financial servicesBackground in NLP — entity extraction, document classification, semantic searchHands-on experience building RAG pipelines and vector search systems (Pinecone, Weaviate, pgvector)Familiarity with fine-tuning and RLHF techniques for LLMsKnowledge of financial compliance, KYC/AML processes, and responsible AI practicesExperience with TypeScript/Node.js or willingness to work in a TypeScript-heavy back-end environmentExposure to cloud-native ML infrastructure (Azure ML, Vertex AI, or SageMaker)Understanding of event-driven architectures and real-time inference patternsExperience with agent frameworks (LangChain, LangGraph, CrewAI, or similar) Tech Stack Highlights AI/ML: OpenAI, Claude, Llama, DeepSeek, Prophet, scikit-learn, PyTorchData: Clickhouse,, MongoDBBackend: 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 challengesFlexible 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 technologiesDirect impact on product direction and technical architectureCollaborative environmentRegular team events and offsitesAmple 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 profileExamples of ML models or AI systems you've built and deployedYour experience with our tech stackWhat 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.