NLP Engineer

ML
3+ years of experience
Limassol

This AI/ML Engineer position within just established Innovation Team, which brings AI to company's internal processes. You will be instrumental in designing, developing, and deploying AI and natural language processing solutions that will transform how our business operates and how our users interact with our platform. The ideal candidate will have a strong foundation in AI/ML principles, a deep understanding of NLP techniques, and a passion for embedding AI to solve complex, real-world business problems.

Responsibilities

Research & Innovation:

  • Track emerging AI technologies and explore new prompting methodologies;
  • Improve existing AI services, workflows, and documentation;
  • Develop architecture, PoC's and integration roadmaps for new AI services using cutting edge patterns and techniques (RAG, Agentic flows, MCP).

Engineering and Prompt Design:

  • Design and optimise advanced AI prompt templates and LLM interaction strategies;
  • Enhance quality, efficiency, and safety of AI-generated outputs.

Technical Evaluation/Assessment:

  • Test AI model responses across diverse scenarios;
  • Develop evaluation frameworks to help maintain stable quality, efficiency, and performance.

Collaboration:

  • Collaborate with engineering teams;
  • Work with Product/Process Owners to clarify and refine requirements.

Documentation:

  • Create and maintain prompt engineering and evaluation guidelines.

Requirements

AI / Machine Learning:

  • 2+ years of experience with LLM's, with expertise in fine-tuning, transfer learning;
  • Hands-on experience in ASR, TTS, Image captioning, classification and QA;
  • Hands-on experience building Conversational AI services (Chatbots).

Generative AI Prompt Engineering:

  • Proficiency in designing and crafting prompts for generative AI models aligned with business use cases.

Software Engineering Skills:

  • Proficiency in Python, with experience in implementing LLM's models and building pipelines using popular frameworks;
  • Hands-on experience building services using RAG, Vector stores, Multimodal LLM's;
  • Proficiency in Typescript would be a bonus.

Model and Service Deployment:

  • Hands-on experience with Docker, Kubernetes (OKD) would be a bonus. 

Conditions

We know that great talent deserves great conditions, so here's what you can expect when joining us:

  • EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
  • Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
  • Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
  • Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
  • Mindfulness & well-being support, including psychological assistance with 50% coverage.
  • 50% coverage of school and kindergarten fees for your children.
  • Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
  • Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
  • A culture of recognition: a peer reward program to celebrate your contributions.
  • A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
  • Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
  • A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.

Recruitment process

  1. HR interview (40 min);
  2. Technical interview (1 hour);
  3. Final interview (45 min).

Apply to this position

€, Net monthly

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