Senior NLP Engineer (all genders)

Department: Technology

Employment Type: Full Time

Location: Remote - Germany

Reporting To: Nasrin Saef

Description

About LingodaFounded 12 years ago, Lingoda addresses a pressing global challenge: meeting the demands of growing economies and aging populations through the mobility of global talent. Driven by its mission "to empower global talent with the language, cultural, and technical skills for integration and success", Lingoda has established itself as a leader in education. 
What We Do Lingoda’s highly effective Small Group Learning Model is delivered via over 800,000 classes a year, powered by 2,400 qualified teachers and a unique proprietary curriculum designed to help learners achieve their goals, whether that be career progression or integration into a new country.

Who We Serve
A rapidly growing and ambitious company, Lingoda operates in both B2B and B2C: while the B2B business has a strong focus on the healthcare sector in Germany and a credible ambition to expand into other professions and geographies, Lingoda’s B2C business has a global presence, teaching German, English, Spanish, French, and Italian to students worldwide.Learning a language with Lingoda is a rewarding experience, made possible by us Lingodies who support our students every step of the way. We’re committed to living the learning journey alongside them to create a world of connection and opportunity.Joining Lingoda means becoming part of a team that’s committed to getting better, together. We foster an inclusive culture of bravery, curiosity, and growth, where insight turns into action, and every team member contributes to igniting positive change. Be part of our journey to transform lives through education.

Your mission with us: As a NLP Engineer at Lingoda you  will have a strong background in implementing AI solutions using Large Language Models (LLMs) and will be an expert in Natural Language Processing. You will also have strong experience in prompt engineering. 
You will be responsible for developing AI solutions to support our teachers and students. You will be working with a variety of LLM’s and other AI Services, generating high-quality prompts and continuously improving them. Collaborating and integrating very closely with our Marketing, Product, Engineering and Learning Teams (curriculum, student & teacher), you will prototype and develop AI solutions that can be integrated into our Lingoda platform to inform and accelerate Lingoda’s Product Vision.
You will be well connected with the rapidly growing and changing AI landscape, up to speed with the latest developments and research, ready to keep Lingoda on the cutting edge of this space. 

Your Tasks:

• Developing and Fine-Tuning Prompts:
  • Crafting high-quality prompts to guide AI models in generating accurate and relevant responses.
  • Iteratively refining prompts based on model performance and user feedback.
• Integrating Prompts into Web Applications
  • Bring your prompts to life by maintaining and extending the backend applications that serve LLM calls to our users
• LLM Evaluation:
  • Evaluating the performance of AI models through various metrics and user testing, including classification use cases and open-ended generation
• Research and Experimentation:
  • Staying updated with the latest advancements in LLMs and AI field.
  • Conducting experiments to test for example the effectiveness of different prompt structures and techniques, RAG methods or agent frameworks
• Documentation and Reporting:
  • Documenting prompt engineering methodologies, experiments, and outcomes.
  • Reporting findings and recommendations to stakeholders and team members.
• User Experience Optimization:
  • Working closely with UX designers to ensure prompts align with user needs and enhance the overall user experience.
  • Analyzing user interactions to identify areas for improvement in prompt design.
• Collaboration and Communication:
  • Collaborating with cross-functional teams, including product managers, developers, and designers, to integrate prompts into applications.
  • Communicating complex technical concepts in a clear and accessible manner to non-technical stakeholders.
• Ethical Considerations:
  • Ensuring prompts are designed to minimize bias and promote fairness in AI responses.
  • Continuously monitoring and addressing ethical concerns related to AI-generated content.
• Troubleshooting and Support: