Full Stack Developer – Generative AI

TheCorporate; Woodlawn (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

TheCorporate is seeking an experienced Full Stack Developer to drive Generative AI PoCs from concept to deployment, building production-ready AI-powered applications. You will work across frontend and backend, leveraging Azure OpenAI, AWS Bedrock, LLMs, and RAG techniques to deliver scalable solutions.

Ideal candidates combine strong Python/JavaScript skills with hands-on cloud experience, collaborate with data scientists and PMs, and operate in an Agile environment.

Qualifications

• 5+ years in full stack development (front-end + back-end).
• 3+ years Python development with modern practices.
• Hands-on experience with Azure and/or AWS.
• Experience integrating AI/ML models, LLMs or AI APIs.
• Strong Python and JavaScript proficiency.
• Experience with React, Angular, or Node.js.
• RESTful APIs and microservices understanding.
• Docker and/or OpenShift experience.
• Jenkins CI/CD experience.
• Git-based version control, Bitbucket preferred.
• Agile development experience and strong communication.

Responsibilities

• Design and develop end-to-end Generative AI PoCs using Azure AI and/or AWS Bedrock.
• Build full stack web apps integrating AI models, APIs, services.
• Develop front-end and back-end components for AI apps.
• Prototype, test, and iterate based on feedback.
• Integrate cloud services and deployment pipelines for AI apps.
• Collaborate with Data Scientists, UI/UX Designers, PMs, and others.
• Conduct code reviews, testing, debugging, performance tuning.
• Create technical docs, architecture diagrams, design specs.
• Evaluate emerging Generative AI tech and opportunities.
• Build reliable, scalable, responsible AI production apps.

Skills

Full Stack

Python

JavaScript

Azure/AWS

REST APIs

Docker/OpenShift

CI/CD

Git/Bitbucket

AI/ML

LLMs

React/Angular/Node.js

Agile

Tools

Docker

OpenShift

Jenkins

Bitbucket

Azure

AWS

Job description

Full Stack Developer – Generative AI Job Overview

We are looking for a hands‑on Full Stack Developer with strong Generative AI experience to build and deploy innovative AI-powered applications. This is not a research role—you will be responsible for taking Generative AI Proofs of Concept (PoCs) from concept and whiteboard through development, testing, and deployment.

The ideal candidate is passionate about Generative AI, full stack development, cloud technologies, and building practical, production-ready solutions.

Key Responsibilities

• Design and develop end-to-end Generative AI Proofs of Concept (PoCs) using Azure AI and/or AWS Bedrock.
• Build full stack web applications integrating Generative AI models, APIs, and services.
• Develop both front-end and back-end components of AI-powered applications.
• Rapidly prototype, test, and iterate solutions based on stakeholder feedback and evolving business requirements.
• Integrate cloud services and support deployment pipelines for AI applications.
• Collaborate with Data Scientists, UI/UX Designers, Project Managers, and other technical teams.
• Conduct code reviews, testing, debugging, and performance optimization.
• Develop and maintain technical documentation, architecture diagrams, and design specifications.
• Evaluate emerging Generative AI technologies and identify opportunities to incorporate them into new solutions.
• Build reliable, scalable, and responsible AI applications suitable for production environments.

Required Qualifications

• 5+ years of professional Full Stack Development experience covering both front-end and back-end development.
• 3+ years of hands‑on Python development using modern development practices.
• Hands‑on experience with Microsoft Azure and/or AWS.
• Experience integrating AI/ML models, LLMs, or AI APIs into applications.
• Strong proficiency in Python and JavaScript.
• Experience with one or more modern JavaScript technologies such as React, Angular, or Node.js.
• Strong understanding of RESTful APIs and microservices architecture.
• Experience with Docker and/or OpenShift.
• Experience with CI/CD tools, preferably Jenkins.
• Experience with Git-based version control, preferably Bitbucket.
• Experience working in Agile development environments.Strong communication skills with the ability to explain technical and AI concepts to non-technical stakeholders.

Preferred / Nice-to-Have Qualifications

• Experience with Azure OpenAI.
• Experience with Azure AI Search.
• Experience with Azure AI Vision.
• Experience with Azure Machine Learning (Azure ML).
• Hands‑on experience with AWS Bedrock.
• Strong understanding of RAG (Retrieval-Augmented Generation).
• Experience with data preprocessing and ingestion pipelines for RAG applications.
• Experience deploying Generative AI/LLM solutions into production on Azure.
• Familiarity with Azure DevOps.
• Experience with Azure Databricks or Azure Synapse Analytics.
• Experience with data science tools such as Jupyter, pandas, and PyTorch.
• Proficiency in C# or Java.
• Understanding of Responsible/Ethical AI, including fairness, transparency, accountability, and privacy.

Ideal Candidate

The ideal candidate will be a Full Stack Developer who combines strong Python and JavaScript skills with hands‑on Generative AI and cloud experience. Candidates who have successfully built and deployed AI-powered applications using technologies such as Azure OpenAI, AWS Bedrock, LLMs, or RAG will be highly preferred.

Key Skills

Full Stack Development | Python | JavaScript | React | Angular | Node.js | Generative AI | LLM | Azure | AWS | Azure OpenAI | AWS Bedrock | RAG | REST APIs | Microservices | Docker | OpenShift | Jenkins | Bitbucket | CI/CD | Azure DevOps

Skills: public trust,javascript,ci/cd,federal,full stack development,azure devops,jenkins,openshift,rag,generative ai,azure openai,aws bedrock,docker,react,rest apis,aws,python,azure,angular,bitbucket,llm,microservices,green card,node.js,us citizen,security clearence