AI Data Engineer for LLM Agents

Job Description

Overview of the Company

Easalytics, a subsidiary of CTComp, is a growing B2B SaaS company providing advanced analytics and data science capabilities to the fitness industry. Software development, data integration, data warehousing, machine learning, AI, data visualization, statistical analysis…yep, it’s geek heaven. Do you have software development background with a recent focus on data engineering? If you are passionate about data and analytics and want to be an essential and influential ground floor member of a small team of technologists disrupting an industry, we have a place for you!

Personal Qualities You Will Need

• Excellent documentation and communication skills
• Ability to thrive in a rapidly evolving environment, both independently and within small cross-functional teams
• Self-starter, attention to detail and results orientated, able to work under minimal guidance
• Personal initiative for continual improvement
• Desire and ability to gain business domain knowledge
  
  

Required Skills/Technology

• 2+ years of data engineering experience, preferably in support of analytics/ML/LLM applications
• 1+ years deploying/supporting LLM agents
• Python
• Must have experience using ChatGPT, Claude, or LLama models
• Designing and maintaining vector database preferably using Pinecone or similar tools
• Creating/maintaining database structures for machine learning and LLM models.
• LLM prompt engineering and prompt tuning
• LLM toolkits like Langchain or AutoGen, structured outputs, functions, tool calling, and Agents
• Parquet, JSON file manipulation and querying
• Maintaining chat history using external databases, preferably using dynamoDB
• Designing data models and develop database structures in Microsoft SQL Server
• Data Warehouse experience, including designing data models and creating database structures in Microsoft SQL Server
• Developing ETL solutions, building complex SQL queries, writing stored procedures, functions, views, and triggers
• Creating automated data migration tasks like data importing and exporting
• Outstanding analytical, quantitative, problem-solving, and critical thinking skills
• Data quality best practices, data validation, and troubleshooting
• Experience using source control tools, such as Azure DevOps and GitHub
• Strong written and verbal communication skills, including the ability to present detailed analyses to a broad audience range
  
  

Experience With These Is a Major Plus

• LangGraph and similar tools for designing LLM Graphs
• Business Intelligence applications, preferably Tableau
• Creating test cases for periodic monitoring of LLM models
• Postgres SQL
• MongoDB
• Shell, Bash and other command line languages
• Tuning training data and metadata for LLMs, using either open source huggingface models or chatgpt/anthropic toolkits
• CI/CD pipelines using Github Actions or similar tools
• Glue, Athena, EMR, EKS, DynamoDB
• Lambda jobs
• Agile and Scrum methodologies
  
  

Company Description

Easalytics has been providing cutting-edge analytics and data science solutions to the fitness industry for over 5 years. Our team is 100% remote and values communication, teamwork, positivity, innovation, personal initiative, and a desire to improve everything.

Easalytics has been providing cutting-edge analytics and data science solutions to the fitness industry for over 5 years. Our team is 100% remote and values communication, teamwork, positivity, innovation, personal initiative, and a desire to improve everything.