

Python Developer with AI Agent
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with AI Agent experience, requiring 7+ years in fintech. It offers $75-80/hr W2 for a 3-month onsite contract in Cumming, GA, focusing on cloud-native development and microservices with AWS.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
640
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ποΈ - Date discovered
August 20, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Cumming, GA
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π§ - Skills detailed
#OpenSearch #Leadership #Databases #NoSQL #AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service) #Python #Microservices #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Cloud #Elasticsearch #Security #SQL (Structured Query Language) #Debugging #MongoDB #RDS (Amazon Relational Database Service) #Automation #Data Storage #ChatGPT #GitHub #Oracle #EC2 #Storage #PostgreSQL #Scala
Role description
Our fintech client in Cumming, GA has an immediate opening for a Python engineer with 7+ years of experience building scalable, reliable, and innovative software solutions. The successful candidate will bring deep expertise in cloud-native development, extensive Python and data systems, while leveraging generative AI tools to accelerate development, design, and troubleshooting.
β’ Must have Agent AI experience.
β’
β’
β’ Position is ONSITE 3x a week and REQUIRES an IN PERSON interview.
β’
β’
β’
β’ Local candidates only please.
$75-80/hr W2 (sorry W2 ONLY)
Must be USC or GC and able to work on W2. No 3rd parties please.
Responsibilities
β’ Design, develop, and deploy cloud-native applications leveraging AWS services (EC2, S3, Lambda, RDS, Glue, etc.).
β’ Build and maintain microservices and APIs, ensuring scalability, security, and performance.
β’ Work with relational and non-relational databases (PostgreSQL, OpenSearch/Elasticsearch, Oracle/DB2, MongoDB) to design efficient data storage and retrieval solutions.
β’ Apply Python expertise to develop backend systems, integrations, and automation workflows.
β’ Utilize Agent AI tools (GitHub Copilot, Amazon Q, ChatGPT, etc.) to enhance software development productivity, code quality, and innovation.
β’ Experiment with and implement AI agent-based solutions to optimize workflows and system interactions.
β’ Apply prompt engineering techniques to improve AI-assisted software design, debugging, and development outcomes.
Qualifications
β’ 7+ years of professional experience with Python including designing and building microservices and APIs.
β’ Proven knowledge and experience with Agent AI tools in development workflows. Strong grasp of prompt engineering for AI interaction in development contexts. Experience with agent mode AI systems.
β’ Proven expertise with AWS cloud services and cloud-native development.
β’ Hands-on experience with SQL and NoSQL databases (PostgreSQL, OpenSearch/Elasticsearch, Oracle/DB2, MongoDB).
β’ Excellent communication, leadership, and stakeholder management skills.
Our fintech client in Cumming, GA has an immediate opening for a Python engineer with 7+ years of experience building scalable, reliable, and innovative software solutions. The successful candidate will bring deep expertise in cloud-native development, extensive Python and data systems, while leveraging generative AI tools to accelerate development, design, and troubleshooting.
β’ Must have Agent AI experience.
β’
β’
β’ Position is ONSITE 3x a week and REQUIRES an IN PERSON interview.
β’
β’
β’
β’ Local candidates only please.
$75-80/hr W2 (sorry W2 ONLY)
Must be USC or GC and able to work on W2. No 3rd parties please.
Responsibilities
β’ Design, develop, and deploy cloud-native applications leveraging AWS services (EC2, S3, Lambda, RDS, Glue, etc.).
β’ Build and maintain microservices and APIs, ensuring scalability, security, and performance.
β’ Work with relational and non-relational databases (PostgreSQL, OpenSearch/Elasticsearch, Oracle/DB2, MongoDB) to design efficient data storage and retrieval solutions.
β’ Apply Python expertise to develop backend systems, integrations, and automation workflows.
β’ Utilize Agent AI tools (GitHub Copilot, Amazon Q, ChatGPT, etc.) to enhance software development productivity, code quality, and innovation.
β’ Experiment with and implement AI agent-based solutions to optimize workflows and system interactions.
β’ Apply prompt engineering techniques to improve AI-assisted software design, debugging, and development outcomes.
Qualifications
β’ 7+ years of professional experience with Python including designing and building microservices and APIs.
β’ Proven knowledge and experience with Agent AI tools in development workflows. Strong grasp of prompt engineering for AI interaction in development contexts. Experience with agent mode AI systems.
β’ Proven expertise with AWS cloud services and cloud-native development.
β’ Hands-on experience with SQL and NoSQL databases (PostgreSQL, OpenSearch/Elasticsearch, Oracle/DB2, MongoDB).
β’ Excellent communication, leadership, and stakeholder management skills.