Paris, Île-de-France, France, France
July 4, 2024
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Seyos est un cabinet de recrutement spécialisé dans les métiers de l'IT. Nous intervenons au niveau national et proposons aux candidats des opportunités professionnelles au sein d'éditeurs de logiciels, DSI d'entreprises (clients finaux), startups, acteurs E-commerce. En 9 années d'existence, plus de 1 300 professionnels de l'IT et du Digital ont déjà été recrutés par l'intermédiaire de Seyos au sein de 400 entreprises.
Our client is a LegalTech with 70 employees working to make international law and arbitration more transparent and accessible. Founded in 2018, the company is a search engine for international law and arbitration. They use artificial and collaborative intelligence to collect and structure global legal data (they have and maintain two main products).
Leading international law firms, governments and corporations around the world use this company's AI technology to conduct in-depth legal research and due diligence with confidence. They are leveraging LLM models to revolutionize legal research and build valuable products for our users.
To continue their expansion, they have just raised EUR10 million in funding.
They are now looking for a Data Engineer to join the new Impact Team to work specifically around LLMs and ship more organic experiences to their users.
As part of your duties, you will BE responsible for :
Remote : 3 days per week (Possibility of travelling abroad for 2 months)
Technical surroundings : Python, GO, Nuxt.js, Vue.js, Node.js, Symfony with JQuery, Docker, Git and Gitlab, PostgreSQL, Elasticsearch, Neo4j and Redis.
Salary : 50 000EUR - 60 000EUR + BSPCE (stock-options).
With at least three years of experience in your field and hands-on expertise with our Tech Stack, you Excel in fast-paced environments. In your previous experiences, you have worked at least one year abroad.
Continuously climbing the slope of enlightenment, you bring a deep understanding of leveraging Large Language Models (LLM) and have experience working on at least one LLM project.
Fluency in English is essential, and knowledge of French is a bonus.
Our client is a LegalTech with 70 employees working to make international law and arbitration more transparent and accessible. Founded in 2018, the company is a search engine for international law and arbitration. They use artificial and collaborative intelligence to collect and structure global legal data (they have and maintain two main products).
Leading international law firms, governments and corporations around the world use this company's AI technology to conduct in-depth legal research and due diligence with confidence. They are leveraging LLM models to revolutionize legal research and build valuable products for our users.
To continue their expansion, they have just raised EUR10 million in funding.
They are now looking for a Data Engineer to join the new Impact Team to work specifically around LLMs and ship more organic experiences to their users.
As part of your duties, you will BE responsible for :
- Create, test, maintain, and consume internal & external APIs (mainly Python, a little bit of GO),
- Write conception Proposals, RFC and analysis,
- Help to create Proof Of Concept, Minimum Viable Product,
- Implement new features and fix bugs,
- Work on LLM application (llama-3, GPT-4, Mixtral, etc.),
- Do prompt engineering, few short learning and fine-tuning.
Remote : 3 days per week (Possibility of travelling abroad for 2 months)
Technical surroundings : Python, GO, Nuxt.js, Vue.js, Node.js, Symfony with JQuery, Docker, Git and Gitlab, PostgreSQL, Elasticsearch, Neo4j and Redis.
Salary : 50 000EUR - 60 000EUR + BSPCE (stock-options).
With at least three years of experience in your field and hands-on expertise with our Tech Stack, you Excel in fast-paced environments. In your previous experiences, you have worked at least one year abroad.
Continuously climbing the slope of enlightenment, you bring a deep understanding of leveraging Large Language Models (LLM) and have experience working on at least one LLM project.
Fluency in English is essential, and knowledge of French is a bonus.
