LLM Engineer (DL/NLP) in Anadea

Location: Ukraine/Europe

Embark on a transformative journey with us as an LLM/DL Engineer, where you will innovate AI applications and optimize business processes using large language models. This role seeks a visionary who thrives in developing pioneering solutions and propelling the frontier of AI technology.

What We’re Looking For:

Essential Qualifications:

• 1+ years of experience as LLM/DL Engineer
• Proficiency in Python and key ML libraries, with deep experience in PyTorch or TensorFlow.
• Expertise in Deep Learning, Neural Networks and LLMs
• Background in developing LLM-based Applications such as agents and chatbots. Familiarity with langchain and RAG
• Being quick to understand business needs and capable of translating them into actual solutions.
• Advanced English proficiency, strong communication skills, ability to easily and clearly articulate technical concepts and effectively engage with the clients.

Desirable Skills:

• Ability to quickly develop prototypes using tools like Streamlit or Gradio to test and iterate over various hypotheses quickly.
• Proven experience in NLP, understanding transformer models and differences between BERT and T5.
• Experience with LLM fine-tuning: PEFT, RLHF, understanding of distributed training.
• Experience with monitoring and evaluating LLM performance.
• Experience with LLM inference.
• Tricks for better interactions with LLMs — being a God of prompts, or a having a set of unconventional tricks on how to make a model output a desired result

What we offer:

• Environment: work with an experienced team passionate about the industry.
• Direct involvement with clients, opportunity to influence projects with your ideas and solutions.
• Top hardware: servers with A6000/RTX 4090, access to high-end GPU instances on cloud.
• Opportunities for business trips, participation in conferences, PR of our work and your contributions.

Interview Process:

• Introduction (30-45 minutes).
• Take-home assignment (4 hours).
• Solution discussion (60 minutes).
• Offer.

How to Apply:

CV is essential, links to GitHub/Kaggle/your outstanding papers and projects are very welcome and highly encouraged