Artmac

AI Solutions Developer (Agentic AI, Python, GCP/Snowflake)

San Francisco, CA, US

18 days ago
Save Job

Summary

Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description

Job Title : AI Solutions Developer (Agentic AI, Python, GCP/Snowflake)

Job Type : C2C

Experience : 6-10 Years

Location : Bay Area, San Jose, California or Raleigh, North Carolina

Responsibilities

  • Experience in developing AI solutions with Agentic AI concepts (e.g., LangChain, AutoGPT), particularly in building autonomous systems.
  • Strong proficiency in Python, with a deep understanding of libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Experience with Snowflake for data modeling, SQL scripting, and analytics.
  • Certification in GCP, Snowflake, or AI/ML-related technologies is a Plus.
  • Hands-on experience with Google Cloud Platform (GCP) services, including Vertex AI, BigQuery, Cloud Storage, and machine learning services.
  • Experience with building and deploying scalable machine learning models in a cloud environment.
  • Strong understanding of data structures, algorithms, and software engineering best practices.
  • Experience with CI/CD tools and practices for deploying AI models in production.
  • Experience with Agentic AI frameworks and technologies.
  • Familiarity with other cloud platforms such as AWS or Azure.
  • Knowledge of AI ethics and responsible AI principles.
  • Develop and implement Agentic AI solutions, ensuring they are scalable, efficient, and effective.
  • Design, develop, and maintain Python-based applications and services.
  • Collaborate with data engineers and scientists to integrate AI solutions with data sources hosted on GCP (BigQuery, Vertex AI, Cloud Functions, etc.) and Snowflake.
  • Perform data preprocessing, feature engineering, and model training to build accurate and reliable AI solutions.
  • Monitor and maintain AI models and applications to ensure optimal performance and scalability.
  • Work with cloud infrastructure on GCP, leveraging tools like Kubernetes, Cloud Functions, and other relevant services for deployment and scaling.
  • Contribute to the development of best practices and guidelines for the team, ensuring code quality and adherence to security standards.
  • Stay current with industry trends and advancements in AI/ML technologies to continually improve solutions.

Qualification

  • Bachelor's degree or equivalent combination of education and experience.

How strong is your resume?

Upload your resume and get feedback from our expert to help land this job