Generative AI Engineer


Anywhere Remote only


US$100-135 (hourly)

Generative AI


May 6

  • Job Summary: We are seeking a highly skilled and experienced Generative AI Engineer with 3-4 years of industry experience to lead our generative AI efforts and join our team. The ideal candidate will have a strong background in generative AI and experience working with LLM (Large Language Models), and will possess excellent leadership skills. As a Generative AI Engineer, they would be responsible for designing and implementing state-of-the-art generative models, as well as leading and collaborating with our team to drive innovation and develop new solutions.Role: Generative AI Engineer
  • Experience: 6-9 years
  • Location: Remote, but must work during Central or Eastern Time
  • Duration: 6+ months 
  • Key Responsibilities:Lead our generative AI efforts and take charge of the environment
  • Design and implement state-of-the-art generative models
  • Work collaboratively with our team to drive innovation and develop new solutions
  • Build, tune, and scale ML models to meet business needs, specializing in NLP/NLU models
  • Perform data analysis and create data visualizations and reports
  • Productionize models developed, including refactoring Python code written on Jupyter Notebook to PySpark
  • Develop AI and ML pipelines for continuous operation, feedback, and monitoring of ML models
  • Optimize AI development environments (development, testing, production) for usability, reliability, and performance
  • Build strong relationships with the infrastructure and application development team to understand the best method of integrating the ML model into enterprise applications
  • Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines fostering these repositories and the ML feature or data stores are working as intended
  • Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective
  • Stay updated about the newest developments, patches, and upgrades to the ML platforms in use by the data science teams
  • Qualifications:3-4 years of experience as a Generative AI Engineer
  • Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch
  • Strong knowledge of machine learning algorithms and techniques, particularly in the areas of generative models, natural language processing, and computer vision
  • Familiarity with cloud computing and distributed systems, particularly Azure
  • Experience with infrastructure provisioning and DevOps principles, whether they are related to infrastructure as code, microservices architecture, or CI/CD automation
  • Ability to evaluate the performance and supervising characteristics of the ML model
  • Familiarity with ML algorithms, AI use cases, and applications
  • Knowledge of data engineering concepts, tools, and automation processes (DataOps)

Technologent is an Equal Opportunity Employer -- EEO/AA Employer/Vet/Disabled -- for reasonable accommodations, please contact us at

Technologent is a Global Provider of Edge-to-Edge℠ Information Technology Solutions and Services for Fortune 1000 and SMB companies. We offer a unique blend of business practices that are aligned to solve for top CIO concerns. Our core competencies focus on data center infrastructure, business continuity, data protection, service automation and orchestration, continuous intelligence, monitoring, connectivity, collaboration and cybersecurity. These practices are supported by our professional services, digital transformation services and financial services offerings. By providing custom solutions and services designed to fit your business needs, we enable your organization to be more agile, responsive and competitive. Technologent empowers your company to ascend to the next level in IT.

Headquartered in Irvine, CA, Technologent has offices throughout the US and proudly serves clients around the world. When partnering with Technologent, organizations benefit from the highest caliber of professionals, committed to delivering exceptional business outcomes backed by unmatched service and support.

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