Aptino, Inc.
GenAI Developer-Agentic
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Developer-Agentic, offering a contract length of "unknown" at a pay rate of "unknown." Key skills include Python, GCP, LLMs, Dialogflow CX, and SQL. Experience with CI/CD and API integrations is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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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
Denver, CO
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🧠 - Skills detailed
#AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Data Analysis #Monitoring #SQL Queries #Scala #REST (Representational State Transfer) #Swagger #Cloud #API (Application Programming Interface) #Debugging #GitLab #SQL (Structured Query Language) #REST API #Python
Role description
Key Responsibilities:
• Develop and deploy AI agents and workflows using Python in GCP environments
• Build GenAI solutions using LLMs, RAG, and orchestration frameworks
• Integrate REST APIs (OpenAPI/Swagger) with enterprise systems
• Design and enhance conversational AI using Dialogflow CX (intents, entities, fulfillment)
• Optimize and manage AI workloads on GCP for scalability
• Write efficient SQL queries for data analysis and validation
• Implement CI/CD pipelines using GitLab
• Support testing, debugging, monitoring, and performance tuning of AI applications
Requirements:
• Strong Python and GCP experience
• Hands-on with LLMs, RAG, and AI agent frameworks
• Experience with Dialogflow CX and API integrations
• Knowledge of SQL, CI/CD, and cloud-native architectures
Key Responsibilities:
• Develop and deploy AI agents and workflows using Python in GCP environments
• Build GenAI solutions using LLMs, RAG, and orchestration frameworks
• Integrate REST APIs (OpenAPI/Swagger) with enterprise systems
• Design and enhance conversational AI using Dialogflow CX (intents, entities, fulfillment)
• Optimize and manage AI workloads on GCP for scalability
• Write efficient SQL queries for data analysis and validation
• Implement CI/CD pipelines using GitLab
• Support testing, debugging, monitoring, and performance tuning of AI applications
Requirements:
• Strong Python and GCP experience
• Hands-on with LLMs, RAG, and AI agent frameworks
• Experience with Dialogflow CX and API integrations
• Knowledge of SQL, CI/CD, and cloud-native architectures
