Senior Developer AI Platform

Position Purpose:

Join the Core Engineering Engine driving the next generation of Artificial Intelligence within BNP Paribas Corporate & Investment Banking (CIB). We are spearheading the establishment of the Agentic Project Center of Excellence (CoE), moving beyond static automation to build a sophisticated ecosystem of autonomous, reasoning agents designed to navigate complex financial workflows.

In this role, you will go beyond traditional API development to architect the intelligence backbone: the high-performance, scalable, and resilient infrastructure enabling Large Language Models (LLMs) and multi-agent systems to seamlessly interact with the bank's enterprise data and tools.

Job Responsibilities

• Serve as a technical cornerstone of the AI Platform team as a Senior Developer.
• Engineer the orchestration layer that supports the Agentic CoE's vision.
• Bridge the gap between cutting-edge AI research and production-grade software engineering.
• Build frameworks that allow agents to use tools, maintain state, and execute complex multi-step reasoning tasks.
• Work deeply within the Python ecosystem to turn experimental AI workflows into robust, enterprise-ready services.

Required Qualifications, Capabilities, and Skills

• Bachelor's / Master's degree in Information Technology, Computer Science, or a related field from top-tier colleges.
• 5+ years of Java/C++ and 5+ years of Python, with the ability to build scalable, maintainable, production-grade systems.

Core Programming:

• Deep understanding of Data Structures & Algorithms and their appropriate use cases.
• In-depth understanding of Java (Object Oriented Programming) principles is required along with the elements of the Java ecosystem.
• Ability to switch from Java to Python (and vice versa), experience using both programming languages is required and previous experience with other languages (e.g. C/C++) would be plus.
• Experience with Concurrency and Parallel Processing (Multithreading, Multiprocessing, Async Programming, and synchronization).
• Ability to design LLM orchestration frameworks using LangGraph (or Google ADK or CrewAI), LangChain, agent workflows, tool integration, and state management.
• Strong understanding of RESTful architecture, API lifecycle management, versioning, authentication, authorization, and API security. Ability to design secure, scalable, enterprise-grade APIs (FastMCP).
• Ability to architect enterprise-scale AI platforms with governance, observability, security, scalability, and banking-grade operational controls.
• Ability to solve complex engineering problems involving nested data structures, large-scale data processing, and system performance bottlenecks.

Behavioral Skills:

• Ability to work with individuals to set objectives and manage performance.
• Ability to liaise with stakeholders to act as a bridging point.
• Results-oriented with experience operating in complex and diverse IT systems environments.

Preferred Qualifications, Capabilities, and Skills

• Programming Languages: Previous experience with other languages such as C/C++.
• AI Frameworks: Experience with LlamaIndex.
• Data & Middleware: SQL (PostgreSQL) and Message Oriented Middleware knowledge.
• Frontend: Creating interactive UIs with frameworks like React, Vue, or Svelte.