GenAI Engineer - H/F
- the model stack (FM, VLM, SLM) from both private and open foundational models like GPT-x, Claude, Gemini to smaller edge models like Ministral or Arcee AI to deliver cost-effective solutions to business users.
- the landscape of AI application frameworks using chaining, retrieval, autonomous agents, and vector search tools (e.g., LangChain, LlamaIndex, pgvector).
- Assist the GenAI Solution Architect in application design.
- Develop applications powered by GenAI models, both self-managed and API-accessible that meet business needs and comply with applicable regulations (GDPR, EU AI Act, Model licenses, etc.)
- Design effective prompts, continuously balancing simplicity and complexity, to enhance models'. analytical capabilities, refine outputs, improve user experience, and increase control over business users' interactions with the models.
- Optimize model output accuracy with RAG techniques to retrieve relevant information from pre-determined knowledge sources and gain insights into how the model generates the response (including source attribution).
- Select and fine-tune the right models to create higher-quality multimodal content (images, text, audio, video, etc.) and raise the value creation opportunity for businesses.
- Conduct research on latest advances in generative AI techniques, technologies, and frameworks.
- Stay abreast of ethical considerations and ensure responsible AI development and deployment practices to help internal teams and customers navigate the end-to-end security and compliance process.
- Monitor model performance in production and resolve issues related to application scalability and reliability.
- Document processes, methodologies and best practices for knowledge sharing and future reference.
- Differentiate between Generative AI use cases and traditional NLP applications (NER, sentimental analysis, etc.)
- Master's degree in computer science, engineering, or related field.
- Strong programming skills, proficiency in Python and proven experience in at least one major GenAI frameworks such as LangChain or LlamaIndex.
- Experience in NLP, NLU
- Experience in vector embedding and semantic search.
- Experience in advanced prompting (Chain, Tree, and Graph of Thought, ReAct, Guardrails, etc.).
- Knowledge of both proprietary and open-source ecosystems (Open AI, AWS, Hugging Face, Anthropic, Mistral.ai, Qwen, etc.)
- Excellent communication skills, with the ability to convey complex technical concepts to both highly technical and also non-technical stakeholders.
- Sharp problem-solving skills.
- Ability to collaborate with diverse teams.
- Pioneering spirit, with a demonstrated commitment to continuous learning and self-improvement.
- Must speak French and speak professional English fluently.
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