Senior Python AI Developer

🚀 We’re Hiring: Senior Python AI Developer

Join a top-tier global investment bank managing hundreds of billions in client assets. Work alongside a high-performing team on cutting-edge financial instruments and enterprise-grade AI solutions.

📍 Location & Work Setup

• Location: Bucharest, Romania
• Work Model: Hybrid

✨ Why Join Us?

• Impactful Work: Build scalable, production-ready AI solutions for high-level financial operations.
• Continuous Growth: Expand your expertise through top-tier technical, domain, and soft-skills training programs.
• Collaborative Culture: Thrive in an open-minded, high-energy environment where innovation happens organically.
• Global Exposure: Work directly with cross-functional teams and stakeholders worldwide.

🎯 Key Responsibilities

• AI Architecture & Deployment: Design, deploy, and scale production-grade ML models, microservices, and APIs on cloud platforms (AWS, GCP, Azure).
• GenAI & Advanced Frameworks: Implement LLMs, RAG, multi-agent systems, and intelligent automation while maintaining compliance and governance standards.
• Data & Pipeline Engineering: Build robust data transformation frameworks and real-time ETL pipelines for large-scale unstructured data.
• Model Lifecycle Management: Develop, test, optimize, and monitor AI/ML models for long-term reliability and operational excellence.
• Cross-Functional Collaboration: Partner with Data Scientists, Software Engineers, Product Managers, and global business stakeholders within an Agile environment.

📋 Mandatory Qualifications

• Education & Experience: Degree in AI, Data Science, CS, or Software Engineering, plus 3+ years of professional experience as an AI Engineer.
• Core Tech Stack: Expert-level Python (NumPy, Pandas, Scikit-Learn), OOP, S.O.L.I.D. principles, and data structures/algorithms.
• GenAI Expertise: Proven background in Large Language Models (LLMs), RAG implementations, Model Context Protocol (MCP), and multi-agent frameworks (e.g., ADK, Dialogflow).
• Software & Cloud Engineering: Deep knowledge of CI/CD (Jenkins), Git, SQL/Java, software architecture, containerization, and cloud infrastructure (AWS/GCP/Azure).
• ML Lifecycle & Data: Hands-on expertise in end-to-end ML model deployment, data modeling, feature engineering, and analytics (e.g., Tableau).
• Soft Skills: Exceptional problem-solving skills and strong communication abilities to present complex AI concepts to senior global stakeholders.

📩 Ready to shape the future of financial tech? Apply directly or send a message to learn more!

VR-123944