RandomTrees
Senior GenAI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior GenAI Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Python (3.10+), GCP, SQL, and experience with LLMs, FastAPI, and data manipulation using Pandas and NumPy.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#AI (Artificial Intelligence) #GCP (Google Cloud Platform) #PostgreSQL #ML (Machine Learning) #Storage #Databases #Pandas #FastAPI #Flask #Langchain #Cloud #BigQuery #Programming #SQL (Structured Query Language) #Data Manipulation #Python #NumPy
Role description
• Proven experience in a hands-on software engineering or ML engineering role.
• Strong programming proficiency in Python (3.10+).
• Hands-on experience with Google Cloud Platform (GCP), especially with AI/ML services (Vertex AI, AIPlatform) and data services (BigQuery, Cloud Storage).
• Demonstrable experience building applications with LLMs using frameworks such as LangChain.
• Experience developing and deploying production-grade APIs using FastAPI, Flask, or a similar web framework.
• Proficiency in data manipulation and analysis using Pandas and NumPy.
• Solid understanding of SQL and experience with relational databases (e.g., PostgreSQL).
• Proven experience in a hands-on software engineering or ML engineering role.
• Strong programming proficiency in Python (3.10+).
• Hands-on experience with Google Cloud Platform (GCP), especially with AI/ML services (Vertex AI, AIPlatform) and data services (BigQuery, Cloud Storage).
• Demonstrable experience building applications with LLMs using frameworks such as LangChain.
• Experience developing and deploying production-grade APIs using FastAPI, Flask, or a similar web framework.
• Proficiency in data manipulation and analysis using Pandas and NumPy.
• Solid understanding of SQL and experience with relational databases (e.g., PostgreSQL).
