LLM Prompt Engineer

Henchman is a breeze of fresh air in a sector that almost missed the digital boat but is now ready to jump aboard. The idea is simple: We suggest relevant clauses to lawyers while drafting contacts within their Microsoft Word environment, creating the fastest contract drafting experience ever made. On top of this, we enrich the customer’s data with AI. By 2026, we want 10,000 lawyers to use Henchman on a daily basis. To get there, we’re looking for people who fit our bill: at Henchman, we’re serious about our jobs, but we don’t take ourselves too seriously. We’re humble, open, and constructive. We grow together as a team and always focus on the user.

Who are we looking for

We are on the lookout for an innovative and dedicated LLM Prompt Engineer who possesses a deep-seated enthusiasm for Large Language Models, Natural Language Processing, and the transformative potential of AI-driven communication. The ideal candidate thrives in a fast-paced and evolving environment, showcasing a strong initiative and ownership of their projects. We value individuals who are decisive, capable of navigating complex challenges and committed to leveraging their skills to advance our objectives.

Company:

Henchman

Qualifications:

Proven experience in crafting effective and efficient prompts for Large Language Model applications. Proven experience in getting structured and restricted data out of LLM’s using prompt engineering. Proven experience with RAG-based systems. Proficiency in programming languages relevant to AI development, particularly Python, and experience with libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. A solid grasp of LLM optimization techniques, including fine-tuning, prompt tuning, and other model adaptations to enhance performance and accuracy. Knowledge of best practices in deploying LLMs responsibly, with a strong understanding of data privacy, ethical AI use, and mitigating biases in model outputs. An ongoing commitment to keep abreast of the latest advancements and research in LLMs, NLP, and AI, ensuring the adoption of innovative and effective strategies in prompt engineering.

How to apply:

Please mention NLP People as a source when applying

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Tagged as: Belgium, Industry, Language Modeling, Natural Language Processing, NLP