AI Engineer Customer Care CDI

TL;DR

We are seeking an entrepreneurial and driven individual with a keen interest in earlystage startups and consulting experience in Data Science particularly with projects involving Large Language Models (LLMs).

About us :

Lettria helps organizations restore Trust in GenAI by providing an innovative solution combining the best of LLMs and Knowledge Graphs.

After several years of R&D the company launched its first products (called Lettria GraphRAG) and won over a number of wellknown international customers including La Poste Euronext and Sia Partners.

We are proud to be backed by renowned investors with 5 million in seed funding and to collaborate with leading academic institutions.

Tasks

Attached to the Operations and DataScience teams as the first Data Scientist dedicated to customer care you will mostly collaborate on :

• PreSales : serve as the primary point of contact for our prospects understanding their needs and providing our Sales & Marketing teams support in the sellers journey (demos technical Q&A negotiations);
• Onboarding : Guide our clients through the setup and deployment of their GraphRAG solutions Verify and ensure data quality through effective data cleaning techniques;
• Customer Success : build and maintain strong client relationships to drive customer satisfaction and retention act as Project Manager when needed: prepare meeting slides animate meetings share meetings minutes communicate with external and internal stakeholders provide technical support and training to clients ensuring they have the necessary knowledge and tools to maximize their use of our products;
• Internal initiatives : collaborate with internal teams (Product Data Science Marketing Sales) to ensure successful delivery of our solutions tailored to customer needs and requirements document code data pipelines and models comprehensively to facilitate knowledge sharing across Lettriastrengthen engineering practices participate in code reviews
• Stay abreast of the latest advancements in AI and ML integrating new methodologies into existing systems;
• Attend industry events and conferences with Sales & Marketing to engage with our audience and stay updated on the latest trends in our industry.

Requirements

About You :

Were very open about the profile of the person whos going to join us. However we have listed some characteristics that indicate you may be a good fit for the job.

• 23 years of experience in consulting roles on Data Science projects for enterprise customers preferably in international consulting firms or AI software companies.
• Ability to collaborate with Clevel executives (Head of Innovation CDO CTO) and thrive in a fastpaced environment.
• Excellent communication skills with the ability to convey complex ideas in a simple and convincing manner and a keen attention to detail.
• Strong project management and selforganization skills.
• Fluency in both English and French (oral and written).

Lettria is committed to diversity and we acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role wed love to see your application!

If your track record contains at least 2 items listed below then we strongly encourage you to apply:

• You have conducted error analysis of LLMs and have finetuned LLM
• You have delivered RAGbased or agentsbased solutions
• You have worked with graph databases (Neo4J AWS Neptune Ontotext)
• You have personally acted as project manager for the delivery of a client project.

Benefits

Our Values at Lettria :

• Proactivity and efficiency
• Transparency
• Trust
• Ownership

What We Offer:

• A dynamic and innovative work environment
• Opportunities for professional growth and development
• Competitive salary and benefits package
• Flexible working arrangements including hybrid work options

Additional Information:

• Location: Offices in inner Paris
• Process: You will meet all cofounders our Product Manager and undergo a technical assessment with the Data Science team.
• Salary:depending on experience benefits (transports meal vouchers 100% health insurance coverage)