• 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