LLM Engineer

LLM Engineer

Category: Software Development

Location: Romania

Referral Reward: RON 5,000

Employment Type: Employment contract

Time Allocation: Full Time

Workplace Type: Remote

Remaining positions: 1

Who is this role for

We are seeking an experienced LLM Engineer to join our team. You will collaborate with cross-functional teams to build scalable AI applications, integrate open-source tools, and drive innovation in the rapidly evolving field of generative AI.

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What I will do:

  • Act as a subject matter expert in LLMs, NLP, and AI-driven solutions.
  • Design, implement, and optimise pipelines for training, fine-tuning, and deploying LLMs in production.
  • Work with open-source tooling such as LangChain, LlamaIndex, and vector or graph databases to augment and enhance LLM capabilities.
  • Build and deploy AI agent systems (e.g., Autogen, CrewAI) to solve real-world business problems.
  • Leverage Python’s data and ML stack (Pandas, Polars, Spark, Spark-NLP, TensorFlow, PyTorch, SpaCy, Hugging Face Transformers, Regex, etc.) to develop scalable AI solutions.
  • Apply strong software engineering practices, including version control, testing, and CI/CD.
  • Work with cloud platforms (preferably AWS) to deliver production-ready AI solutions.
  • Conduct research and stay up-to-date with advancements in ML, NLP, and generative AI.
  • Collaborate with data scientists, engineers, and stakeholders to define requirements and deliver value.
  • Produce technical documentation and share knowledge within the team.

Skills and experience:

  • MSc/PhD in Computer Science, AI, or related field (strong plus).
  • 3+ years of experience in engineering ML or AI solutions.
  • Solid understanding of algorithms, data structures, design patterns, and asynchronous programming.
  • Strong knowledge of ML, NLP, and DL concepts, with hands-on experience implementing models.
  • Proficiency in Python and its ML/data stack.
  • Experience working with transformer models, Hugging Face ecosystem, and NLP frameworks.
  • Hands-on experience augmenting LLMs using open-source tools (LangChain, LlamaIndex, vector or graph databases).
  • Familiarity with AI agent frameworks (Autogen, CrewAI).
  • Experience with cloud platforms (AWS preferred).
  • Strong problem-solving, research, and critical thinking skills.
  • Ability to quickly grasp new technologies in the evolving AI landscape.
  • Solid software engineering practices: version control, testing, CI/CD.

Benefits:

  • Private Medical Subscription.
  • Flexible Time Off: Between 21–25 days of annual leave.
  • Floating Days—when public holidays fall on weekends, you’ll receive time off on other working days.
  • Premium Work Equipment: Choose between a MacBook Pro or a similar device for Microsoft-based projects.
  • Learning & Development Support: Access to Learning platforms, certifications and support for attending industry events and training.
  • Performance Bonuses: Annual performance bonus based on individual and company achievements.
  • Exclusive Discounts: Special offers on travel agencies, spas, beauty centres, restaurants, pubs, veterinary clinics and sports facilities.
  • Referral Bonus.