Python Full Stack Developer-Senior Level

Overview

On Site
USD 120-120
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Angular
Python
LLM
GEN AI

Job Details

Python Full Stack Developer (C2C allowed) - need 2

C2C allowed - Glider to be used from the portal-

Location: Fulltime on-site Monday to Friday in Mclean,VA

$120/hr C2C AIC MAX.

Notes: Must take a glider, must interview in person.

Job Description:

  • Developer Full Stack Specialist

Position Summary:

  • Client is seeking a highly experienced handson Full Stack Engineer to design and development of cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems.
  • This role requires advanced proficiency in Angular for frontend development and Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes).
  • Candidates will serve as a handson engineer, working alongside Gen AI scientists, UX designers, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.

Key Responsibilities:

  • Architect and implement scalable Full Stack AI Agents, Agentic Workflows, and Gen AI applications to address diverse and complex business use cases.
  • Develop, optimize, and maintain the frontend using Angular, ensuring a seamless user experience.
  • Design and deploy Pythonbased microservices for robust orchestration and integration with AI models.
  • Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multimodal AI into the application architecture.
  • Implement solutions leveraging modern design patterns and best practices for full stack development.
  • Build and maintain RESTful APIs to enable seamless communication between the front end and back end.
  • Collaborate with crossfunctional teams of UI/UX designers, data engineers, and Gen AI scientists to build full-stack Gen AI experiences.
  • Integrate Gen AI solutions with enterprise platforms via APIbased methods and standardized patterns.
  • Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for productionready deployment.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
  • 10 plus years of experience in full stack development, with 3+ years in applied Gen AI or LLMbased solutions.
  • Deep expertise in Angular, Python, and microservices architecture.
  • Proven experience with cloudnative development, particularly AWS services.
  • Strong programming skills and familiarity with AI/ML libraries and frameworks.
  • Demonstrated ability to work in crossfunctional agile teams.
  • Please provide Github link for candidate's code repository. Also, please vet the candidate thoroughly for technical skills.

Preferred Qualifications:

  • Experience in AIpowered application development.
  • Familiarity with CI/CD practices for DevOps and scalable deployment.
  • Handson experience with enterprise AI governance and ethical deployment frameworks.
  • Contributions to opensource projects or publications in software development domains.

Benefits:

  • Competitive salary and performancebased bonuses.
  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Opportunities for professional development and career growth.
  • Flexible work hours and remote work options.

Must Have Qualifications:

  • Angular, Python, and microservices architecture.

Skill Highlights- please indicate the # of years on each of the following skills:

  • Experience in full stack development
  • Applied Gen AI or LLMbased solutions.
  • Angular
  • Python
  • Microservices architecture
  • Experience with cloudnative development
  • AWS
  • Strong programming skills and familiarity with AI/ML libraries and frameworks.

Preferred Qualifications:

  • Experience in AIpowered application development.
  • CI/CD practices for DevOps and scalable deployment.
  • Experience with enterprise AI governance and ethical deployment frameworks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.