Senior NLP Engineer

We are looking for a skilled and highly driven Senior NLP Engineer with expertise in Large Language Models (LLMs) to join our team. The perfect candidate will possess a hackathon mindset, capable of swiftly solving tasks and effectively combining existing technologies to address problems. Your role will involve developing and incorporating LLM-based solutions into our business products (focused on the legal and financial sectors), covering a range of scenarios from question-answering to creating LLM agents.


What you will do as a Senior NLP Engineer:

  • Design, build, and deploy LLM-based solutions for diverse applications, including question-answering systems, search engines, content generation, and task-solving agents
  • Research and stay current with the latest advancements in NLP and LLM technologies, frameworks, and libraries
  • Collaborate with cross-functional teams to establish product requirements, deliver top-quality solutions, and ensure seamless integration with existing systems
  • Optimize and fine-tune LLM models for enhanced performance, efficiency, and accuracy
  • Create and maintain documentation for implemented solutions and share knowledge with the team
  • Troubleshoot and resolve issues related to LLM usage in production scenarios, ensuring high reliability and performance.
Qualifications and Skill Set:

  • Solid experience working with LLMs, such as GPT3/ Llama/ T5/ BERT, and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX
  • Experience with LLMOps: Auto-GPT, Langchain, LlamaIndex, VectorDBs
  • Demonstrated programming skills in Python3, using efficient algorithms and software design patterns.
  • Familiarity with best practices in software development, including version control, testing, and continuous integration
  • Excellent communication and teamwork abilities, with the capacity to work effectively in a dynamic, cross-functional setting
  • Exceptional problem-solving, analytical, and critical thinking skills, with the ability to adapt to new challenges and technologies.

Nice-to-haves:

  • Experience with cloud platforms, such as AWS, Azure, or Google Cloud
  • Experience in commercializing ChatGPT or GPT3/4 for business applications
  • Be a prompt engineering guru - know how to solve a problem using 101 different promts
  • Technical PR (victories in competitions/hackathons, open LLM/NLP projects on GitHub)
  • Participation in early-stage startups, involvement in accelerators, or working in their own startup.

Technology Office

Remote (Armenia)

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