Machine Learning Engineer (RAG/LLM)


  Machine Learning


Our client in the fintech industry is transforming the landscape of wealth management through AI-driven personalization. They are hiring a Senior NLP Engineer to lead the development of RAG-based architecture for LLMs across various early-stage divisions. The successful candidate will spearhead groundbreaking projects, starting from inception and driving forward innovative solutions within the investment sector.


  • As the Senior NLP Engineer, you will lead groundbreaking projects from inception to implementation. 

  • You will develop RAG models integrated with vector databases to power conversational AI products.

  • Craft tools and scripts for automating data aggregation and curation processes.

  • Refine LLM models to optimize accuracy and effectiveness, ensuring enhanced user experiences.


  • PhD, Master’s or Bachelor’s degree in computer science, mathematics or similar.

  • Demonstrate over 5 years of engineering experience, including at least 1 year in vector database and chunking technologies.

  • Exhibit proficiency in embeddings, llama2 and other LLM tools, showcasing expertise in NLP/NLU/NLG domains.

  • Have hands-on experience in fine-tuning and deploying generative LLMs using TensorFlow and/or PyTorch frameworks.

  • Possess advanced skills in Python, SQL, and data visualization methods.

  • Thrive in entrepreneurial, fast-paced environments, adept at quickly adapting to evolving priorities.

  • Display proactive problem-solving abilities coupled with exceptional communication skills and a collaborative mindset.


  • Salary: $150,000 – $190,000.

  • Equity.

  • Comprehensive medical, dental, vision, life, and disability insurance.

  • 401(k) Retirement Plan.

  • Relocation packages to Colorado.

If this sounds like the role for you, apply now in the link below or email your resume to for consideration.