LLM Engineer, Customer Projects

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard provides a holistic testing platform for AI models.

Co-founded in 2021 by Alex Combessie (CEO, ex-Dataiku engineer & ex-strategy consultant) and Jean-Marie John-Mathews (CPO, ex-Thales data scientist & researcher in AI Ethics), we are aiming to build the #1 platform to ensure the quality, security & compliance of AI models, with open-source and collaborative values.

Track record

In 2022, we raised our first round of 1.5 M€, led by Elaia, with participation from Elaia, Bessemer and notable angel investors including the CTO of Hugging Face.

In 2023, we received a strategic investment of 3 M€ from the European Commission to build a SaaS platform to automate compliance with the EU AI Act.

In 2024, we Giskard got another funding of 3 M€ from the France 2030 strategic AI plan to fund R&D on Generative AI (LLM) evaluation, in a consortium of leading experts: Mistral AI, Artefact, INA and BnF.

You can read more about our latest news in the press: TechCrunch, La Tribune, Les Echos, BFM TV

About the role

As an LLM Engineer for Customer Projects you will:

• Lead customer engagements on LLM application red-teaming for enterprise clients: finding new LLM application vulnerabilities, adding new evaluation methods & tests, writing audit reports & crafting dashboards.

• Provide technical guidance to customers on LLM application blue-teaming i.e., how to mitigate vulnerabilities; as well as best practices on LLM application architecture, prompting and optimization.
• Regularly liaise with the R&D team to relay feedback, suggest improvements and test new features
• Collaborate with the sales & marketing team to support the sales pipeline, provide technical expertise, and create demos & technical content

Requirements

We are looking for an entrepreneurial doer with a strong drive, interest in early-stage startups, and with consulting experience in ML Engineering / Data Science, including on LLM projects.

About you

• 4+ years of experience in consulting roles on AI / ML Engineering / Data Science projects for enterprise customers - preferably in international consulting firms or AI software companies firms
• Experience in LLM application development using tools such as Hugging Face, OpenAI, Mistral, LlamaIndex, Langchain, Deepset, Ollama, etc.
• Ability to thrive in fast-paced environments and manage high-level client expectations (CDOs, CTO, CISOs)
• Ability to communicate complex ideas in simple and convincing ways, with a keen attention to details
• Project management & self-organization skills
• Full proficiency in Python programming
• Fluency (oral & written) in both English and French
• Bonus: skills in web development (React, FastAPI) and DevOps (Docker, AWS).
• Bonus: experience in early-stage startups

Values

• Team spirit & empathy
• Being proactive & efficient
• Transparency & trust
• Being impactful in the AI field for society
• Vision & long-term picture

Recruitment process

You can get an offer in 4 weeks 🚀

• HR fit interview: 15 minutes
• Manager fit interview: 30 minutes
• Case study: 10 days to complete
• Case study interview: 45 minutes
• Reference calls: 2 persons
• Final interview with founders: 45 minutes

Benefits

We value diversity, equity, and inclusivity. Giskard is an equal-opportunity employer. We do not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran, or disability status.

We are remote-flex as we value productivity and work/life balance. You can adopt a hybrid work schedule where you come work from home 2-3 days / week. We only ask that you come to the Paris office (near Gare de l'Est and Canal Saint Martin) at least 1 day / week.

After internship, CDI employees are granted a significant equity package. We want to include everyone in the adventure and make it a collective win.

Salary: between 70 K€ and 100 K€ (brut) / year + 0.15-0.35% equity