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Easalytics

AI Data Engineer for LLM Agents

  • +4
  • +14
  • US
    Connecticut, United States
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  • +4
  • +14
  • US
    Connecticut, United States

About

Job Description 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.

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.

Nice-to-have skills

  • Python
  • ChatGPT
  • JSON
  • DynamoDB
  • Github
  • Tableau
  • MongoDB
  • Shell
  • Bash
  • EMR
  • DynamoDB
  • Lambda
  • Agile
  • Scrum
  • Connecticut, United States

Work experience

  • Data Engineer
  • Fullstack
  • Machine Learning
  • NLP

Languages

  • English