

Gen AI Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Developer with a 6-month contract, offering a pay rate of "X" per hour. Candidates need 5+ years of software engineering experience, proficiency in Java and Python, and expertise in AWS services and Generative AI tools.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 20, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Atlanta Metropolitan Area
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π§ - Skills detailed
#OpenSearch #API (Application Programming Interface) #Leadership #Databases #NoSQL #Deployment #ML (Machine Learning) #AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service) #Data Processing #Python #Microservices #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Cloud #Elasticsearch #Debugging #MongoDB #Java #RDS (Amazon Relational Database Service) #ChatGPT #GitHub #Oracle #EC2 #PostgreSQL #Scala #DevOps
Role description
We are seeking a Software Engineer with strong backgrounds in software development and hands-on expertise with Generative AI tooling. The ideal candidates will combine a solid foundation in backend and cloud development with the ability to leverage AI-assisted development tools to accelerate coding, design, and troubleshooting.
Responsibilities
β’ Design, develop, and maintain scalable applications using Java, Python, and AWS Cloud Services.
β’ Build and optimize microservices architectures and design robust, secure APIs.
β’ Work with large-scale databases (PostgreSQL, OpenSearch/Elasticsearch, Oracle/DB2, MongoDB) to design efficient data flows and queries.
β’ Apply Generative AI development tools (GitHub Copilot, Amazon Q, Claude Code, ChatGPT, etc.) to accelerate coding, debugging, and solution design.
β’ Leverage prompt engineering and advanced interaction with AI assistants for efficient problem-solving.
β’ Participate in full software development lifecycle, including design, testing, deployment, and support.
β’ Collaborate closely with stakeholders and cross-functional teams to deliver high-quality solutions.
β’ Contribute to technical decision-making and provide leadership in best practices and emerging technologies.
Qualifications
β’ 5+ years of professional software engineering experience.
β’ Strong hands-on expertise with AWS services: EC2, S3, Lambda, RDS, Glue, and related services.
β’ Proficiency in Java and Python for backend development.
β’ Experience with relational and NoSQL databases (PostgreSQL, Oracle/DB2, MongoDB, Elasticsearch).
β’ Solid understanding of microservices architecture and API design.
β’ Demonstrated use of Generative AI tools in a production development setting; experience with Agent Mode is a strong plus.
β’ Knowledge of prompt engineering for effective AI collaboration.
β’ Excellent technical leadership, communication, and stakeholder engagement skills.
Preferred Skills
β’ Experience in large-scale data processing and performance optimization.
β’ Familiarity with DevOps/CI-CD practices and cloud-native deployments.
β’ Exposure to AI/ML frameworks or applied machine learning projects (nice to have).
Why Join
This is a unique opportunity to join a forward-thinking team working with the latest in cloud and Generative AI technologies, with the chance to shape how AI augments software engineering practices.
We are seeking a Software Engineer with strong backgrounds in software development and hands-on expertise with Generative AI tooling. The ideal candidates will combine a solid foundation in backend and cloud development with the ability to leverage AI-assisted development tools to accelerate coding, design, and troubleshooting.
Responsibilities
β’ Design, develop, and maintain scalable applications using Java, Python, and AWS Cloud Services.
β’ Build and optimize microservices architectures and design robust, secure APIs.
β’ Work with large-scale databases (PostgreSQL, OpenSearch/Elasticsearch, Oracle/DB2, MongoDB) to design efficient data flows and queries.
β’ Apply Generative AI development tools (GitHub Copilot, Amazon Q, Claude Code, ChatGPT, etc.) to accelerate coding, debugging, and solution design.
β’ Leverage prompt engineering and advanced interaction with AI assistants for efficient problem-solving.
β’ Participate in full software development lifecycle, including design, testing, deployment, and support.
β’ Collaborate closely with stakeholders and cross-functional teams to deliver high-quality solutions.
β’ Contribute to technical decision-making and provide leadership in best practices and emerging technologies.
Qualifications
β’ 5+ years of professional software engineering experience.
β’ Strong hands-on expertise with AWS services: EC2, S3, Lambda, RDS, Glue, and related services.
β’ Proficiency in Java and Python for backend development.
β’ Experience with relational and NoSQL databases (PostgreSQL, Oracle/DB2, MongoDB, Elasticsearch).
β’ Solid understanding of microservices architecture and API design.
β’ Demonstrated use of Generative AI tools in a production development setting; experience with Agent Mode is a strong plus.
β’ Knowledge of prompt engineering for effective AI collaboration.
β’ Excellent technical leadership, communication, and stakeholder engagement skills.
Preferred Skills
β’ Experience in large-scale data processing and performance optimization.
β’ Familiarity with DevOps/CI-CD practices and cloud-native deployments.
β’ Exposure to AI/ML frameworks or applied machine learning projects (nice to have).
Why Join
This is a unique opportunity to join a forward-thinking team working with the latest in cloud and Generative AI technologies, with the chance to shape how AI augments software engineering practices.