AI Solutions Developer (Agentic AI, Python, GCP/Snowflake)
San Francisco, CA, US
18 days ago
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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.
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