LLM Engineer

Straive is a leading company in the Information Technology and Services industry, committed to delivering innovative solutions that leverage cutting-edge technologies to drive business transformation. We are currently seeking a highly skilled LLM Engineer to join our dynamic team. The ideal candidate will have a deep understanding of large language models (LLMs) and their application in real-world scenarios. As an LLM Engineer at Straive, you will play a crucial role in designing, developing, and optimizing advanced language-based AI systems that enhance our product offerings and customer experiences. This position offers an exciting opportunity to work with a talented group of professionals in a fast-paced, collaborative environment where your expertise will directly impact the evolution of AI-driven solutions. If you are passionate about natural language processing, machine learning, and artificial intelligence, and looking to contribute to transformative projects, Straive is the perfect place to grow your career and make a difference in the industry.

Responsibilities

• Design, develop, and deploy large language model-based applications and services.
• Collaborate with cross-functional teams to integrate LLM technologies into existing platforms.
• Research and implement state-of-the-art natural language processing techniques.
• Optimize model performance for accuracy, speed, and scalability.
• Conduct thorough testing and validation of language models to ensure quality and reliability.
• Stay updated with the latest advancements in LLMs and AI to incorporate best practices.
• Provide technical guidance and support to team members on LLM-related projects.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Proven experience working with large language models such as GPT, BERT, or similar frameworks.
• Strong programming skills in Python and familiarity with ML libraries like TensorFlow or PyTorch.
• Deep understanding of natural language processing concepts and techniques.
• Experience with model deployment in cloud environments such as AWS, Azure, or GCP.
• Ability to analyze and improve model performance using appropriate evaluation metrics.
• Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

Social Security (IMSS)

National Housing Fund (Infonavit)

Consumption Coverage (FONACOT)

Deel Management Fee

Profit sharing bonus

Severance accrual