Role overview
Job description
Context: A team responsible for the development and industrialization of applications for the Investment Banking division. Accelerating the integration of generative AI solutions and AI agents into business processes. A strategic environment within the platform, with high-impact use cases in document analysis, credit, and finance. Expectations: Strong Python with extensive experience in Object-Oriented Programming and enterprise software design patterns. Proven track record building asynchronous microservices and endpoints using FastAPI. Hands-on practice in pytest (unit, functional, and integration testing for ML/LLM pipelines). Bash scripts for automation, data handling, and container interaction. LLMs Architecture understanding proven by project portfolio. Architecting multi-step, stateful agentic graphs using LangGraph or Google ADK. Hands-on experience optimizing LLM pipelines
…About this listing
- Source: MARGO's official careers site (via Lever) · last confirmed on the source 31 Oct 2026
- Posted 28 Oct 2026
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What they are looking for
Skills & requirements
Qualification
Hands-on practice in pytest (unit, functional, and integration testing for ML/LLM pipelines); Hands-on experience optimizing LLM pipelines programmatically using DSPy; Responsibilities: Design and develop LLM-based agentic solutions to automate complex business processes
Department · Consulting
Hiring company
MARGO
Déployez votre stratégie avec MARGO (FR, UK, PL). Nos experts Data, IA & Digital pilotent vos projets technologiques les plus complexes.
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