Full Stack AI Developer

Murex

Murex is a global fintech leader in trading, risk management and processing solutions for capital markets.

Operating from our 19 offices, 3 000 Murexians from over 60 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world.

Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment.

You ll be part of one global team where you can learn fast and stay true to yourself.

Your Mission

As a Full Stack AI Developer, you will help design and build our AI Agent Engine Platform, contributing across backend, frontend, and AI workflows.

Your role will focus on:

• Building full-stack applications using .NET Core, Angular, and microservices architecture with robust APIs, security (RBAC), and scalable data handling.

• Developing AI-powered solutions by implementing LLM-based agents, Retrieval-Augmented Generation (RAG) pipelines, and automated workflows with Python, LangChain, and Apache Airflow.

• Working with modern data and infrastructure tools such as PostgreSQL, Redis, MongoDB, Qdrant, and Docker/Kubernetes to deliver reliable, production-grade systems.

• Collaborating in a cross-functional team to design, test, and improve intelligent applications that combine backend, AI, and user-friendly interfaces.

Your Profile

• Bachelor s degree in computer science, engineering, or related field.

• 2+ years of professional experience as a Full Stack Developer with .NET Core, Python, and Angular.

• Solid understanding of microservices architecture, Domain-Driven Design (DDD), and SOLID principles.

• Hands-on experience with Generative AI technologies, including LLMs (GPT, LLaMA, Claude, etc.).

• Strong communication skills in spoken and written English.

• Ability to work in a collaborative, fast-moving team environment.

Extra Qualifications

• Experience with Docker & Kubernetes for containerized application deployment.

• Practical knowledge of LangChain, Agentic AI frameworks, or other orchestration tools.

• Understanding of RAG pipelines, prompt engineering, and knowledge augmentation techniques.

• Exposure to Apache Airflow or other ETL tools.

• Background in MLOps practices for CI/CD of AI models.

Why Join Us

• Work on the cutting edge of applied AI with production-grade LLMs and agent frameworks.

• Collaborate with a team of passionate engineers.

• Gain exposure to modern architectures (microservices, distributed systems, RAG pipelines).

• Room for creativity, ownership, and rapid professional growth.