AI Gen & ML Engineer

• People First 🤝 – our team comes first. We want every Flanker to feel at home, engaged, and part of something bigger.
• Keep Growing 🌱 – as the company grows, so should you. We’re all about personal and professional development here.
• Think Twice, Act Once 🧠💭 – we believe in thoughtful decisions, considering the impact on both our team and our clients before taking action.

• Design, train, and deploy classical ML models (e.g., Random Forest, XGBoost, Logistic Regression) and deep learning architectures (e.g., CNNs, RNNs, Transformers) for financial applications.
• Fine-tune and evaluate large language models (LLMs) for domain-specific use cases, contributing to solutions such as tax optimization, conversational analytics, and portfolio recommendations.
• Develop and orchestrate multi-agent systems, leveraging frameworks like LangGraph, CrewAI, LlamaIndex, or OpenLangChain to build collaborative, context-aware AI workflows.
• Build and maintain robust, production-grade ML pipelines with proper observability, versioning, testing, and deployment practices in real environments.
• Collaborate cross-functionally with product, data, and engineering teams, while staying up to date with the latest trends in GenAI, MLOps, and emerging research in the AI/ML ecosystem.

• Strong proficiency in Python, Git workflows, and containerization with Docker.
• Comfort working in collaborative development environments (GitHub, pull requests, CI/CD pipelines).
• Ability to write clean, testable, and maintainable code, including unit and integration testing practices.
• Strong understanding of API development using FastAPI (or similar) and RESTful design principles.
• Solid experience with ML and DL frameworks such as scikit-learn, PyTorch, or TensorFlow.
• Working knowledge of cloud platforms, preferably Google Cloud Platform (GCP).
• 3+ years of hands-on experience in ML engineering or applied AI, including training and deploying models in production environments.
• Familiar with embeddings, prompt engineering and basic Retrieval Augmented Generation concepts.
• Experience fine-tuning and evaluating large language models (LLMs)—including families such as OpenAI (GPT), Anthropic (Claude), Google (Gemini), and open-source models like LLama, DeepSeek, Mistral, or Qwen—using techniques such as DPO, RLHF, or GRPO.
• Experience building multi-agent systems using orchestration frameworks like Langchain, CrewAI, LlamaIndex, among others.
• Language Proficiency: Professional proficiency in both English and Spanish to collaborate effectively in our bilingual environment 🗣️.

• Experience with advanced RAG setups and hybrid retrieval strategies, using multi-vector indexing or integrating graph-based data stores like Neo4j to enhance context and reasoning.
• Knowledge of LLM observability and guardrails, including tools like Arize, Confident AI (DeepEval), or Guardrails for prompt safety and hallucination filtering.
• Hands-on exposure to LLM red teaming, using frameworks like DeepTeam or PyRIT to test adversarial prompts and policy violations.
• Experience designing and implementing multi-agent LLM systems using protocols like MCP and A2A, along with a solid understanding of agent coordination patterns.
• Previous work in the financial or fintech space, or having worked in a banking or investment firm environment.

• A full-time, permanent contract. 📃

• We offer what we think is fair compensation (from 40K to 50K € per year for this role).

• A cool office between Sants Estació and Plaça Espanya with stunning views of Barcelona. 🏙️✨

• Flexible working hours and hybrid work options. ⏰

• Paid day off on your birthday. 🎂🎉

• Weekly fresh fruit, coffee, and tea on tap. 🍎🍵

• Friday happy hours after our all-hands meetings (totally optional, of course!). 🍻🥳

• Team-building events to bond and have fun. 🎈🤝

• Health insurance and flexible compensation with Alan. 🏥💸

• A digital canteen, thanks to Nora Real Food, subsidised at 50%. 🍽️😋

• A yearly training budget to keep growing. 📚📈

• You’ll have a chat with our Head of People,

• A technical discussion meeting with some of Flanks team members.
• Any extra meetings you (or we) might need to iron out any questions. 🤔
• We send you an offer! 💌

Flanks