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Fastapi Programmer Jobs (NOW HIRING)

Lead AI/ML Engineer

Tampa, FL · On-site

$96.90K - $127.60K/yr

The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design ...

Cloud Automation Lead/Engineer - API

Ashland, OH

$88.70K - $116.80K/yr

Built using Python (Flask/FastAPI), the system is designed to scale across 44+ enforcement ... Collaborate with frontend, DevOps, and QA teams to deliver features end-to-end. Required Skills ...

Design, develop, and maintain high-performance, asynchronous backend services using Python and FastAPI. ? AI Integration: Collaborate with ML engineers to deploy and scale AI models, specifically ...

A key initiative for this role will involve modernizing legacy internal management tools into a centralized, web-based operations portal using FastAPI and related technologies. The engineer will also ...

Experience with FastAPI or similar Python web frameworks (e.g., Flask, Django). * Strong analytical ... Collaborate with product managers, front-end developers, and other engineers to design and ...

AI Engineer

Newark, CA · On-site

$80 - $90/hr

Implement production-grade APIs with FastAPI to support scalable deployments. * Collaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver end-to-end AI ...

Python Engineer / LeadJob LocationSan Jose,CA, USAIntroduction: The Python Engineer / Lead will ... Design, build, and maintain robust, high-throughput APIs using FastAPI, Django, or Flask.

Python Developer

Manhattan, NY

$55.50 - $76.25/hr

Core Responsibilities • Build and deploy AI agents using LangGraph • Develop backend-heavy AI solutions using Python + FastAPI • Implement: RAG pipelines Text-to-SQL systems Prompt-engineered ...

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How much do fastapi programmer jobs pay per hour?

As of May 31, 2026, the average hourly pay for fastapi programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.
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$94.60K - $124.60K/yr

Full-time

Posted 11 days ago


Job description

Job Title: AI/ML Lead
Location: Dallas TX/Tampa FL/Jersey City NJ
Note - C2H after 6 months
Job Description:
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.
Key Responsibilities:
  • Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
  • Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
  • Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
  • Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
  • Conduct performance tuning and optimization of AI models and APIs.
  • Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Required Skills & Qualifications
  • 8+ years of professional experience in software development and system design.
  • Strong proficiency in Python and experience with FastAPI for API development.
  • Hands-on experience with Generative AI frameworks and RAG architectures.
  • Solid understanding of system and architecture design principles for distributed applications.
  • Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
  • Familiarity with vector databases, embedding models, and retrieval pipelines.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Preferred Qualifications
  • Experience with LLM fine-tuning, prompt engineering, and model evaluation.
  • Knowledge of containerization (Docker) and orchestration (Kubernetes).
  • Exposure to CI/CD pipelines and DevOps practices.