Python Gen AI Developer

  • Washington, DC
  • Posted 18 hours ago | Updated 18 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

python
genai
LLMS
Azure
Open AI
FastAPI
Flask

Job Details

Title: Developer Premium II - Python Gen AI Developer

Duration : 12 Months - Long Term

Location: Washington, DC 20433

5 Days onsite per week from Day1

About the Role:

We are seeking a skilled and motivated Python Developer with hands-on experience in Generative AI. In this role, you ll be responsible for developing, deploying, and optimizing generative applications.

Key Responsibilities:

  • Design, develop, and maintain Python-based applications and microservices.
  • Integrate large language models (LLMs) and multimodal generative models into production pipelines.
  • Work with APIs and frameworks like Azure OpenAI, LangChain, LangGraph etc.
  • Collaborate with cross-functional teams to define requirements and deliver high-impact solutions.
  • Write clean, efficient, and well-documented code with proper testing.
  • Optimize model inference performance for low-latency applications.
  • Stay up to date with the latest research and advancements in generative AI.

Required Qualifications:

  • 5+ years of professional Python development experience.
  • Experience deploying models via APIs, Flask/FastAPI, or other web frameworks.
  • Strong understanding of data structures, algorithms, and software architecture.
  • Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and model hosting services.
  • Experience with Git, Docker, CI/CD pipelines.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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.