Generative AI Full-Stack Engineer — Azure/AWS PoCs Onsite

Info Origin Inc; Woodlawn (MD); On-site; USD 83,000 - 90,000; Full time

Job summary

Info Origin Inc. is seeking a hands-on Full Stack Developer to design, build, and deploy Generative AI PoCs using Azure AI and AWS Bedrock. You will craft scalable full-stack applications, integrating AI models and cloud services, while collaborating with cross-functional teams to deliver AI-powered solutions.

The role emphasizes strong Python development, cloud expertise, secure and scalable architectures, and a proactive approach to code quality, testing, and documentation.

Qualifications

• 5+ years of full-stack development experience.
• 3+ years of Python development experience.
• Hands-on experience with Azure and/or AWS cloud platforms.
• Experience integrating Generative AI/LLM APIs and RAG-based applications.
• Experience with Docker/OpenShift, Git/Bitbucket, CI/CD, and Agile development.
• Excellent problem-solving, collaboration, and communication skills.
• Bachelor's degree with 7+ years, Master's with 5+ years, or equivalent experience.

Responsibilities

• Design, develop, and deploy Generative AI PoCs using Azure AI and AWS Bedrock.
• Build scalable full-stack applications with AI model integration.
• Integrate cloud services, APIs, and deployment pipelines.
• Collaborate with cross-functional teams to deliver AI solutions.
• Perform code reviews, testing, debugging, and technical documentation.
• Stay current with emerging AI technologies and best practices.

Skills

Full-stack

Python

Azure AWS

Generative AI

Agile

Communication

Education

Bachelor's degree

Master's degree

Equivalent experience

Tools

Docker

OpenShift

Git/Bitbucket

CI/CD

Job description

Info Origin Inc. is seeking a hands-on Full Stack Developer to design, build, and deploy Generative AI PoCs using Azure AI and AWS Bedrock. You will craft scalable full-stack applications, integrating AI models and cloud services, while collaborating with cross-functional teams to deliver AI-powered solutions.

The role emphasizes strong Python development, cloud expertise, secure and scalable architectures, and a proactive approach to code quality, testing, and documentation.