Key Facts

Remote From:

Anywhere

Full time

96 - 96K yearly

English

Hard Skills

Large Language Modeling Software Development Solution Architecture Project Management

Other Skills

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Accountability
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Communication
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Engagement Skills
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Teamwork
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Proactivity
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Professional Responsibility

Roles & Responsibilities

Degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a comparable field.
Proven hands-on experience with LLM and RAG projects.
High level of independence and ownership with a proactive working style.
Professional fluency in English and ability to perform well in a dynamic, deadline-driven environment.

Requirements:

Lead the implementation of a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) solution for a high-profile client project.
Design, develop, and deliver a production-ready solution within the next 4 weeks.
Collaborate with the project team to ensure alignment with client requirements and success criteria.
Demonstrate hands-on, results-driven execution in a dynamic, deadline-driven environment.

Job description

This is a remote position.

Join a fast-paced, high-impact project for a major international chemical company. We are looking for an experienced specialist who can take ownership of the implementation of an LLM and RAG solution and help deliver a successful project within an ambitious timeline.

About the job

Lead the implementation of a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) solution for a high-profile client project.
Work closely with the project team to design, develop, and deliver a production-ready solution within the next 4 weeks.

Requirements

Degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a comparable field.
Professional fluency in English.
Proven hands-on experience with LLM and RAG projects is a must
High level of independence, ownership, and personal responsibility.
Strong engagement, commitment, and a proactive working style.
Ability to perform well in a dynamic, deadline-driven environment.