Seyos

Data Engineer Llm - Python H/F

Job description

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.

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.

Localisation : Paris (75008) - Partial remote possible.

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).

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.

Your Profile

  • You have at least 3 years' experience in your field and have worked on part of our Tech Stack;
  • You thrive in a fast-paced environment;
  • You are climbing the slope of enlightenment (Dunning-Kruger effect);
  • Having worked on at least one LLM project;
  • Knowing how to leverage LLM;
  • Fluency in English is mandatory and knowledge of French is a bonus.

Company Benefits

  • BSPCE;
  • Luncheon voucher;
  • Seminar every quarter;
  • Teleworking possible (3 days per week);
  • Possibility of travelling abroad for 8 weeks per year.

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