Introduction
We are looking for an innovative Prompt Engineering Specialist who thrives at the intersection of linguistics, AI, and product development. If you enjoy crafting precise instructions that guide AI behavior, optimizing model outputs, and working with cutting-edge large language models, this position offers an exciting opportunity to shape the future of AI interactions.
As a Prompt Engineering Specialist on our team, you will design, test, and refine prompts that unlock the full potential of AI systems. You’ll work closely with product managers, AI researchers, and engineering teams to create reliable, safe, and effective AI experiences that delight users while maintaining ethical standards.
We provide competitive compensation, access to state-of-the-art AI tools, continuous learning opportunities, and the chance to work on breakthrough AI applications that impact millions of users.
Objectives of this role
- Design and optimize prompts to achieve consistent, reliable, and accurate model outputs across diverse use cases.
- Collaborate with AI researchers and engineers to improve model performance through systematic prompt engineering.
- Establish best practices and methodologies for prompt development, testing, and deployment.
- Ensure AI outputs align with brand guidelines, ethical standards, and factual accuracy requirements.
Your tasks
- Create and iterate on prompts for various LLMs (GPT, Claude, Gemini, LLaMA) to achieve specific objectives.
- Conduct systematic A/B testing and evaluation of prompt variations to optimize performance.
- Build comprehensive prompt libraries organized by task type, domain, and persona.
- Monitor model outputs for drift, hallucination, and performance degradation over time.
- Implement safety measures to prevent prompt injection and ensure responsible AI behavior.
- Collaborate on fine-tuning initiatives and provide prompt-based training data.
- Document prompt engineering methodologies and train team members on best practices.
Required skills and qualifications
- Bachelor’s degree in Computer Science, Linguistics, Cognitive Science, or related field.
- 2+ years of experience working with large language models and prompt engineering techniques.
- Proficiency with model APIs and development environments (OpenAI, Anthropic, Google AI).
- Strong understanding of NLP concepts, tokenization, and model architectures.
- Experience with systematic testing methodologies and statistical analysis.
- Knowledge of AI safety principles and responsible AI development practices.
- Excellent written communication skills and attention to linguistic detail.
- Familiarity with Python, evaluation frameworks, and experimentation tools.
Preferred skills and qualifications
- Experience with reinforcement learning from human feedback (RLHF) and constitutional AI.
- Knowledge of advanced prompting techniques (chain-of-thought, few-shot learning).
- Background in computational linguistics, psycholinguistics, or cognitive science.
- Experience with multimodal AI systems and vision-language models.
- Familiarity with AI alignment research and interpretability techniques.
- Previous work on conversational AI, chatbots, or virtual assistants.
- Understanding of token efficiency optimization and cost management strategies.
- Contributions to open-source prompt engineering tools or research papers.
