A technology company is looking for conversational LLM AI experts for one of its major clients. You will be at the forefront of AI innovation, designing, deploying, and optimizing cutting-edge conversational systems, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. Depending on your seniority level, you will either help build and test conversational flows or drive the end-to-end AI architecture, leading security, scalability, and performance strategies.
What you will do.
- Develop and integrate robust LLM applications leveraging frameworks such as LangChain, LlamaIndex, and Python.
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and advanced Natural Language Processing (NLP) systems.
- Craft highly effective prompt strategies and design intuitive, multi-turn conversational experiences using tools like Botpress or Rasa.
- Build clean Frontend/Backend integrations to support AI agents, and manage automated deployments using CI/CD and DevOps best practices.
- Implement enterprise-grade security protocols for LLMs (handling prompt injection, data leakage) and ensure strict alignment with GDPR and data privacy regulations.
- Actively participate in Agile/Scrum sprints, translating ambitious business requirements into production-ready AI solutions.
Profile
Experience:
- Junior: 1+ year of experience working on NLP, chatbot development, or initial LLM projects.
- Medior: 3+ years of proven experience building and deploying generative AI pipelines, RAG systems, and integrations in production.
- Senior: 5+ years of extensive experience in NLP/AI engineering, architectural design of enterprise LLM agents, and leading complex AI security and scaling initiatives.
Technical skills:
- GenAI & LLM Stack: LangChain, Python, Prompt Engineering, RAG frameworks, Vector Stores.
- NLP & Conversational Platforms: Natural Language Processing, Botpress, Rasa, or similar conversational design tooling.
- Engineering & Deployment: Full-stack development skills (Frontend & Backend), DevOps practices, CI/CD pipelines.
- Security & Governance: AI Security controls, GDPR compliance, data anonymization.
- Frameworks: Agile/Scrum methodologies.
Languages:
- Fluent in either Dutch or French (minimum Professional Working Proficiency).
- Fluent in English (minimum Professional Working Proficiency).
How to apply
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