GenAI Engineer

Job Description

We are seeking a skilled Generative AI Engineer to join our team where you will harness model capabilities to implement cutting-edge algorithms and solutions across myriad industries.  

You will serve as a pivotal link between Data Scientists, ML and Platform Engineers to unleash the potential of Generative AI technology by implementing business-centric solutions. You will help customers find the appropriate level of refinement among semantic search, RAG, agents, and ultimately fine-tuning to reach their value delivery threshold in the most cost-effective way. 

Beyond crafting prompts, you will be responsible for designing and building robust and scalable products starting with benchmarks of candidate FMs through targeted requests, rapidly iterating prototypes, and validating product ideas. Your expertise in orchestrating the entire AI workflow will ensure the seamless integration of advanced models' capabilities into applications, optimizing performance, security, compliance, scalability, and efficiency. You will competently navigate between prompts, chains, and agents while mastering the underlying infrastructure challenges. 

Your role will involve research, design, implementation and optimization of AI systems. You will need to master both: 

• 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). 

We invest in your success through comprehensive training, combining internal programs with resources from our technology partners. 

Join us if you are passionate about pushing the boundaries of AI technology and making a significant impact in enabling our customers to create GenAI-powered applications with confidence and a fast time to market. 

Responsibilities 

You are part of a cross-functional consulting team that drives the adoption of Generative AI in every imaginable sector, working step-by-step with customers to understand business requirements to design then build bespoke GenAI solutions. 

• 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.) 

Qualifications

We are looking for a professional with a technical background and academic experience building creative AI solutions. 

• 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.