PAt bioBuilders /b, we are looking for a visionary bTechnical Lead /b with deep expertise in Artificial Intelligence to spearhead our AI initiatives within the Financial and Legaltech sectors. You will be responsible for bridging the gap between cutting-edge AI research and production-ready solutions that transform how institutions handle complex financial data and legal frameworks. /ppYou won't just be managing a team; you will be the architectural North Star for our AI roadmap, ensuring our solutions are scalable, secure, and ethically sound. /ppbr/ppbKey responsibilities /b /pullibTechnical Leadership: /b Lead and mentor a high-performing team of AI engineers and developers, fostering a culture of technical excellence and continuous learning. /lilibArchitecture Design: /b Design and oversee the implementation of robust AI architectures, specifically focusing on Large Language Models (LLMs), Natural Language Processing (NLP), and predictive analytics for financial/legal use cases. /lilibProduct Strategy: /b Collaborate with stakeholders to define the AI product roadmap, identifying opportunities where AI can disrupt traditional financial and legal processes. /lilibHands-on Development: /b Maintain a \"player-coach\" mentality, contributing to the codebase for critical components and conducting rigorous code reviews. /lilibSecurity Compliance: /b Ensure all AI solutions adhere to the strict regulatory standards of the financial and legal industries (e.g., GDPR, EU AI Act, financial data privacy). /lilibInnovation: /b Stay at the forefront of AI trends (Agentic workflows, RAG, Fine-tuning) to keep ioBuilders at the cutting edge of the industry. /li /ulpbr/ppbTechnial Requirements /b /pullibExperience: /b 7+ years in software engineering, with at least 3 years in a leadership/management role and a strong track record in AI-driven projects. /lilibAI Mastery: /b Extensive experience with bPython /b and AI frameworks such as bPyTorch, TensorFlow, or JAX /b. /lilibModern AI Stack: /b Proven expertise in implementing bRAG (Retrieval-Augmented Generation) /b, fine-tuning LLMs (OpenAI, Anthropic, Llama), and working with vector databases (Pinecone, Milvus, or Weaviate). /lilibCloud DevOps: /b Experience with cloud infrastructure (AWS/Azure/GCP) and MLOps tools for deploying and monitoring models in production. /lilibFintech/Legaltech Context: /b Familiarity with financial datasets, smart contracts, or automated document analysis is highly preferred. /li /ulpbr/ppbSoft Skills /b /pullibProblem Solver: /b Ability to navigate the ambiguity of emerging technologies and turn them into concrete business value. /lilibCommunicator: /b Capable of explaining complex technical AI concepts to non-technical stakeholders and clients. /lilibStrategic Thinker: /b Someone who looks beyond the code to understand the long-term impact on the FinTech ecosystem. /li /ulpbr/ppbWhy join ioBuilders? /b /pulliWork at the forefront of the digital asset and blockchain revolution. /liliA remote-friendly, agile environment that values autonomy and impact. /liliThe opportunity to build tools that define the future of regulated financial markets. /li /ul