Fullstack python Developer with AI

Job Title: Fullstack python Developer with AI

Location: Dallas, TX or Plano, TX (local only)

Tax Term: C2C


Job Description:

Your future duties and responsibilities

. Design, develop, and maintain scalable backend applications and RESTful APIs using Python and FastAPI

. Build high performance, secure, and reusable API services supporting AI, analytics, and enterprise applications

. Develop integrations with Snowflake, Databricks, and cloud based data platforms

. Design and optimize data access layers supporting structured, semi structured, and large scale datasets

. Develop services that leverage Apache Iceberg tables and modern data lakehouse architectures

. Build event driven and asynchronous backend services where appropriate

. Optimize API performance, scalability, reliability, and security

. Implement authentication and authorization using OAuth2, JWT, Azure AD, or similar enterprise identity providers

. Collaborate with cloud engineers to deploy applications on Microsoft Azure using modern DevOps practices

. Participate in architecture reviews, code reviews, and technical design discussions

Required qualifications to be successful in this role

. Bachelor's degree in Computer Science, Engineering, or equivalent experience

. 5+ years of professional software development experience

. 5+ years of hands-on Python development

. Strong experience developing production grade applications using FastAPI

. Strong understanding of REST API design and backend architecture

. Experience with asynchronous programming in Python

. Experience integrating applications with Snowflake

. Experience working with Databricks

. Experience using Apache Iceberg tables and modern lakehouse architectures

. Experience developing applications on Microsoft Azure

. Experience building AI enabled or GenAI applications

. Experience integrating with Large Language Models (Azure OpenAI, OpenAI, Anthropic, etc.)

. Experience with vector databases and Retrieval Augmented Generation (RAG)

. Experience with MLflow or MLOps practices

. Experience writing unit, integration, and automated tests

. Strong knowledge of SQL and database design

. Experience with containerization technologies such as Docker

. Excellent debugging, analytical, and problem solving skills

. Strong communication and collaboration skills

Preferred Qualifications

. Experience with Azure Kubernetes Service (AKS)

. Experience with Azure Functions or Azure App Services

. Experience with Azure API Management

. Experience with Azure Key Vault

. Experience with Azure Event Hubs or Service Bus

. Experience with Terraform or Infrastructure as Code

. Familiarity with Spark and PySpark

. Experience with distributed systems and microservices architectures

Technical Skills

Required

. Python

. FastAPI

. REST APIs

. Snowflake

. Databricks

. Apache Iceberg

. Microsoft Azure

. SQL

. MLflow

. Azure OpenAI

. LangChain or similar AI frameworks

Preferred

. AKS

. Git

. Docker

. CI/CD

. Azure Functions

. Azure API Management

. Azure Key Vault

. Azure DevOps

. Kubernetes

. Terraform

. PySpark

Desired Characteristics

. Strong ownership mindset

. Passion for building clean, maintainable, and scalable software

. Ability to work independently while collaborating effectively with cross functional teams

. Comfortable working in Agile environments

. Continuous learner with interest in AI, cloud technologies, and modern data platforms

. Strong attention to quality, security, and performance

. Experience supporting enterprise AI initiatives

. Experience building APIs that serve AI/ML models

. Experience working with large scale enterprise data platforms

. Exposure to telecom, financial services, or other large enterprise environments