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Full Stack Developer-Woodlawn-MD-Onsite

Job in Woodlawn, Prince George's County, Maryland, USA
Listing for: Info Origin Inc
Full Time position
Listed on 2026-09-04
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 60 - 65 USD Hourly USD 60.00 65.00 HOUR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Stack Developer-Woodlawn-MD-Onsite

2 days ago Requisition

Salary Range: $60.00 To $65.00 Hourly

Position Overview

We are seeking a hands-on Full Stack Developer to design, build, and deploy Generative AI Proofs of Concept (PoCs) using Azure AI and AWS Bedrock. The ideal candidate has strong Python and full-stack development experience, cloud expertise, and a passion for building secure, scalable AI-powered applications.

Key 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.
Required 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/Open Shift, 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.
Preferred Skills
  • Experience with Azure OpenAI, Azure ML, Cognitive Services, Databricks, and Synapse.
  • Knowledge of AI deployment, monitoring, security, and ethical AI practices.
  • Experience with Azure Dev Ops, Jenkins, Docker, Open Shift, and CI/CD pipelines.
  • Familiarity with C#, Java, PyTorch, pandas, and Jupyter Notebooks.
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