Generative AI Engineer

Everforth Apex
Charlotte, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 135K

Job location

Charlotte, United States of America

Tech stack

Artificial Intelligence
Big Data
Hadoop
Hive
Python
Machine Learning
MongoDB
Neo4j
Redis
WebSocket
Large Language Models
Spark
Generative AI
FastAPI
Angular
Kafka
Slurm
Front End Software Development
REST
GPT

Job description

We are seeking a Generative AI Engineer for a contract position. This role involves the end-to-end execution of Generative AI projects, requiring a combination of technical development skills and a strong understanding of model governance and risk management. The ideal candidate will contribute to delivering compliant and effective AI solutions., * Execute end-to-end Generative AI projects in a professional environment.

  • Deliver GenAI solutions that adhere to established governance guidelines.
  • Author formal model documentation to meet risk management standards.
  • Design and implement controls for model monitoring and performance.
  • Utilize a range of LLM development frameworks, agentic frameworks, and evaluation tools.
  • Work with enterprise data stores such as Redis and MongoDB.
  • Develop and maintain REST APIs, utilizing FastAPI and WebSockets.

Requirements

Experience: 2+ years of professional experience in executing end-to-end Generative AI projects.

Technical Skills: Strong Python programming expertise. Hands-on experience with Large Language Models (e.g., GPT, LLaMA), agentic frameworks (e.g., LangGraph), LLM development frameworks (LangChain, LlamaIndex), embedding models, and evaluation frameworks (RAGAS, LangSmith). Proficiency with enterprise data stores like Redis and MongoDB is required.

Model Governance: Must have hands-on experience with Model Risk Management and Model Governance processes.

Preferred Qualifications

  • Frontend experience with Angular.
  • Experience with distributed and big data technologies such as Slurm, Hadoop/Hive, Apache Spark, Kafka, or Neo4j.
  • Knowledge of machine learning techniques, classifiers, and statistical methods.
  • An advanced degree or equivalent experience in data science, mathematics, or a related quantitative discipline.

Benefits & conditions

The pay rate for this position is between $60.00 and $65.06 per hour.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

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