AI/ML Engineer

• Build REST endpoints
• Refine prompts and write Agentic code

  • Adjusting LLM Inference parameters

  • Writing and refining prompts
  • Selecting context for given LLM window size and setup
  • Debugging Agent Self-Reflection loops
• Calling external search libraries and writing formatting code to connect prompt templates
• Writing code in compliance with risk restrictions
• Documenting code to ensure compliance and reusability of work
• Write SQL queries and optimize queries for LLM context retrieval
• Writing unit and integration tests for LLMs

Qualifications:

AI ML Engineer

• 6+ years of total experience
• 3+ Years experience as a data scientist, or machine learning engineer (data-adjacent profession)
• Proficient in every aspect of the data pipeline, including:

  • Data cleaning and preprocessing

  • Model Selection
  • Feature engineering
  • Model training and retraining
  • Model evaluation
  • Moving models into productions
  • Building APIs
• Python expertise

  • Familiar with FastAPI, Flask

  • Some python library or libraries for calling LLMs (LangChain or similar)
  • Data manipulation libraries (Pandas, Numpy, Scipy)
• NLPText processing and parsing library experience (SpaCy, NLTK, TextBlob
• Deep LearningFamiliarity with model binaries and inferencing, experience with HuggingFace, PyTorch, or Tensorflow a plus
• LLMs Able to write promptsUnderstanding of the fundamentals of Language Modeling
• SQL

Education:

• Bachelor’s degree/University degree or equivalent experience