python developer
Columbus, OH · On-site
$47 - $64.75/hr
Develop RESTful APIs and microservices using FastAPI, Flask, or Django. * Design and implement ... Experience building AI assistants, chatbots, or intelligent automation platforms. * AWS ...
python developer
Columbus, OH · On-site
$47 - $64.75/hr
Develop RESTful APIs and microservices using FastAPI, Flask, or Django. * Design and implement ... Experience building AI assistants, chatbots, or intelligent automation platforms. * AWS ...
Assistant Fastapi Developer information
See salary details
$16.11 - $18.53
22% of jobs
$18.89 is the 25th percentile. Wages below this are outliers.
$18.53 - $20.96
18% of jobs
The median wage is $22.41 / hr.
$20.96 - $23.38
16% of jobs
$23.38 - $25.81
17% of jobs
$26.05 is the 75th percentile. Wages above this are outliers.
$25.81 - $28.23
16% of jobs
$28.23 - $30.66
2% of jobs
$30.66 - $33.09
2% of jobs
$33.09 - $35.51
0% of jobs
$35.51 - $37.94
2% of jobs
$37.94 - $40.36
3% of jobs
$40.36 - $42.79
1% of jobs
$16
$24
$42
How much do assistant fastapi developer jobs pay per hour?
As of Jul 14, 2026, the average hourly pay for assistant fastapi developer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $26.92 per hour, depending on experience, location, and employer.
What cities are hiring for Assistant Fastapi Developer jobs? Cities with the most Assistant Fastapi Developer job openings:
What states have the most Assistant Fastapi Developer jobs? States with the most job openings for Assistant Fastapi Developer jobs include:
What are the most commonly searched types of Fastapi Developer jobs? The most popular types of Fastapi Developer jobs are:
$47 - $64.75/hr
Other
Posted 6 days ago
Job description
Job Title: Senior Python Developer (AI & AWS)
Experience: 6–10 Years (Python Development)
AI Experience: 2–3 Years
Cloud Experience: 5–8 Years (AWS Preferred)
Location: [Location]
Employment Type: Full-Time
We are looking for a highly skilled Senior Python Developer with strong application development experience and a passion for building scalable, cloud-native solutions. The ideal candidate will have extensive experience in Python development, hands-on experience with AI technologies, and strong expertise in AWS cloud services.
Key Responsibilities- Design, develop, and maintain scalable, high-performance Python applications.
- Build and enhance AI-powered applications using modern AI/ML and Generative AI technologies.
- Develop RESTful APIs and microservices using FastAPI, Flask, or Django.
- Design and implement cloud-native applications using AWS services.
- Integrate Large Language Models (LLMs), AI APIs, and automation solutions into enterprise applications.
- Optimize application performance, scalability, security, and reliability.
- Collaborate with cross-functional teams to define, design, and deliver high-quality software solutions.
- Participate in architecture discussions, code reviews, testing, deployment, and production support.
- Bachelor''s degree in Computer Science, Engineering, or a related field.
- 6–10 years of hands-on Python development experience.
- 2–3 years of experience working with AI/ML or Generative AI technologies.
- 5–8 years of experience working with AWS cloud services.
- Strong experience designing and developing enterprise applications.
- Excellent understanding of object-oriented programming, design patterns, and software engineering best practices.
- Python
- FastAPI, Flask, or Django
- REST APIs & Microservices
- SQL (PostgreSQL/MySQL)
- MongoDB or DynamoDB
- Git/GitHub
- Generative AI
- Large Language Models (LLMs)
- OpenAI API, Anthropic Claude, or Amazon Bedrock
- LangChain or LangGraph
- Hugging Face
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- TensorFlow or PyTorch (preferred)
- AWS Lambda
- Amazon EC2
- Amazon S3
- Amazon API Gateway
- Amazon Bedrock
- Amazon SageMaker
- Amazon RDS
- Amazon DynamoDB
- AWS IAM
- Amazon CloudWatch
- Amazon ECS/EKS
- AWS CloudFormation or Terraform
- AWS CodePipeline / CodeBuild / CodeDeploy
- Docker and Kubernetes
- CI/CD pipelines
- Terraform or AWS CDK
- Redis or Kafka
- Experience building AI assistants, chatbots, or intelligent automation platforms.
- AWS Certification is an added advantage.
- Python Development: 6–10 Years
- Artificial Intelligence / Generative AI: 2–3 Years
- AWS Cloud Services: 5–8 Years
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and in a fast-paced Agile environment.
- Strong ownership mindset with the ability to deliver high-quality, production-ready solutions.