Full Stack Gen AI Developer

  • Reston, VA
  • Posted 2 days ago | Updated 2 days ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Artificial Intelligence
Generative Artificial Intelligence (AI)
Google Cloud Platform
Kubernetes
Machine Learning (ML)
Natural Language Processing
Microsoft Azure
Python
angular
NLP
GENAI
Chatbots
OCR

Job Details

Project Details

Role : Full Stack Gen AI Developer

Location : Reston, VA/Plano TX (Hybrid 3 days onsite a day)

Duration : 12+ Months

Description
Job Description:

  • Lead on design, develop, and deploy end-to-end Full Stack product development for an AI Platform, including data pipelines, model training, APIs, and user-facing screens.
  • Build and maintain scalable, efficient, and secure backend systems using Python.
  • Inference/Train and fine-tune machine learning and GenAI models.
  • Integrate AI models into production-grade software with consideration for latency, performance, and scalability.
  • Collaborate with product managers, data scientists, and UI/UX designers to deliver high-impact features.
  • Deploy applications using CI/CD pipelines and containerization tools like Docker and Kubernetes.
  • Manage and optimize databases for performance and reliability.
  • Implement system integrations and ensure seamless operation across various components.
  • Monitor and improve production-level systems, ensuring uptime, performance, and reliability.
  • Design and Solve Use Cases from customers using CGI AI Platform.

Required qualifications to be successful in this role:

  • Strong sense of ownership and accountability, with a focus on delivering production-ready systems. Always ready to work with a startup mentality.
  • 5+ years of full-stack development experience with significant expertise in: Backend: Python Frontend: Angular
  • 5+ years hands on experience building a product/solution leveraging GenAI, NLP, Document Classification, developing Chatbots and OCR development, including hands-on experience with NLP libraries and tools.
  • Solid understanding of Kubernetes concepts and experience managing containerized applications in production environments.
  • Proficiency in relational and non-relational databases, with a strong understanding of database optimization techniques
  • Communication Skills: Effective communication is crucial for collaborating with cross-functional teams and explaining technical concepts to non-technical stakeholders.loud Computing: Experience with cloud platforms e.g. Azure, Google Cloud Platform for deploying and scaling AI systems.C.
  • Problem-Solving: The ability to tackle complex issues and adapt to rapidly evolving AI technologies.
  • Privacy and Compliance Knowledge: Understanding of data privacy regulations, security best practices, and ethical considerations in AI development
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