Romanian Linguist – AI Projects
Lilt
AI Prompt Engineer
Motive
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇷🇴 Romania
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
- Develop, test, and optimize natural language prompts for a variety of tasks, ensuring that AI models produce accurate, contextually relevant, and high-quality responses.
- Experiment with different prompt engineering techniques, strategies, and styles to improve AI model outputs in various scenarios.
- Collaborate with R&D and Professional Services software engineers to fine-tune pre-trained models using custom prompts for specific business requirements or user needs.
- Conduct prompt-based testing and validation to assess model performance and quality.
- Work closely with R&D software engineers to integrate prompt-engineered models into production systems and applications.
- Partner with product managers and UX/UI designers to understand user needs and ensure that AI-generated content aligns with user expectations and business goals.
- Document prompt engineering strategies, guidelines, and best practices.
- Maintain detailed records of model performance metrics and improvements over time.
- Stay up-to-date with the latest trends and techniques in AI, NLP, and prompt engineering.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Linguistics, AI, Data Science, or a related field.
- Strong understanding of natural language processing (NLP) techniques and machine learning models (e.g., GPT, BERT, T5).
- Experience with AI prompt engineering, fine-tuning, and content generation tasks.
- Familiarity with large-scale pre-trained models, including transformers and generative models.
- Proficiency in programming languages such as Python, with a focus on libraries like Hugging Face, TensorFlow, PyTorch, or OpenAI’s API.
- Troubleshooting skills.
- Familiarity with AI platforms and cloud computing services (e.g., AWS, GCP, Azure).
- Expertise in Atlassian Jira and Confluence tools as well as Microsoft SharePoint.
- Excellent verbal and written communication skills.
- Ability to articulate technical concepts to both technical and non-technical stakeholders.
- Ability to work effectively in a collaborative team environment.
- Strong interpersonal skills and a proactive attitude.
- Ability to quickly learn and apply new technologies.
- Flexibility to adapt to changing priorities and project requirements.
- Experience working with generative models such as GPT-3/4, BERT, or T5.
- Familiarity with conversational AI, chatbots, and interactive AI systems.
- Experience with data labeling, model evaluation, and data annotation.
- A strong portfolio showcasing previous work in prompt design or AI-driven NLP systems.
- Knowledge of AI ethics, bias mitigation, and content moderation techniques.
Benefits
- Equal opportunity in employment regardless of gender, gender identity, sexual orientation, marital status, race, nationality, religion, age, disability, political beliefs, or any other factor.
- Regular data-cleansing and updating exercises to ensure relevance and accuracy of personal data.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
natural language processingAI prompt engineeringmachine learning modelsprogramming languagesPythonHugging FaceTensorFlowPyTorchdata labelingmodel evaluation
Soft skills
communication skillscollaborative team environmentinterpersonal skillsproactive attitudeflexibilitytroubleshooting skillsability to articulate technical conceptsability to quickly learn new technologiesadaptabilityattention to detail