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How much do remote fastapi developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote fastapi developer in Houston, TX is $50.46, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $61.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote FastAPI Developer, and why are they important?

To excel as a Remote FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with the FastAPI framework, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Docker, Git, SQL/NoSQL databases, and cloud platforms like AWS or Azure is highly valued, and certifications in cloud or backend development can be advantageous. Excellent problem-solving, self-management, and communication skills are crucial for collaborating effectively in a remote environment. These skills ensure you can deliver robust, scalable APIs while efficiently working with distributed teams.

What are some common challenges Remote FastAPI Developers face when collaborating with distributed teams?

Remote FastAPI Developers frequently work with colleagues across different time zones and communication styles, which can make real-time collaboration and code reviews more challenging. Staying aligned on project requirements, API design standards, and deployment schedules often requires proactive communication and thorough documentation. Using tools like version control, issue trackers, and asynchronous messaging helps bridge these gaps, but developers must be disciplined about keeping everyone updated and clarifying technical decisions. Building strong remote working habits and establishing clear processes with your team can greatly improve collaboration and project outcomes.

What is a Remote FastAPI Developer?

A Remote FastAPI Developer is a software engineer who specializes in building web APIs using the FastAPI framework, while working remotely from any location. FastAPI is a modern, high-performance Python web framework used to create APIs quickly and efficiently. Remote FastAPI Developers design, implement, and maintain backend services, typically collaborating with distributed teams through online communication and project management tools. Their responsibilities often include writing clean, scalable code, integrating databases, and ensuring API security and performance.
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Senior AI/Data Engineer - Cotton Holdings Inc.

Senior AI/Data Engineer - Cotton Holdings Inc.

G2i Inc.

Houston, TX • On-site, Remote

$101.20K - $137.50K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AI & Data Platform Engineer

Location: Houston, TX (Hybrid Preferred) or Remote (U.S./LATAM) Type: Contract-to-Hire Level: Mid-Senior

About the Role

We're hiring an AI & Data Platform Engineer to build AI-powered systems that automate RFP discovery, document analysis, and qualification workflows.

You'll work on backend AI systems that ingest RFPs, extract key information from documents, build semantic search, and help teams decide which opportunities to pursue.

This is a hands-on engineering role focused on production systems — not just prompt engineering.

What You'll Do
  • Build AI workflows for RFP intake, document parsing, extraction, and qualification
  • Create RAG and semantic search pipelines over RFP documents
  • Extract structured data like due dates, project scope, contacts, requirements, and submission instructions
  • Develop FastAPI services and backend APIs
  • Build human review and approval workflows
  • Improve reliability, testing, observability, and AI quality
Tech Stack
  • Python
  • FastAPI
  • Pydantic / Pydantic AI
  • PostgreSQL + pgvector
  • SQLAlchemy
  • Azure OpenAI
  • Azure Blob Storage
  • Prefect
  • Docker
  • GitHub
Requirements
  • 4+ years of software engineering experience
  • 2+ years building backend APIs or data platforms in production
  • Strong Python backend engineering experience
  • Experience with LLMs, RAG, embeddings, or AI workflow automation
  • Experience with PostgreSQL and relational databases
  • Strong understanding of data modeling and validation
  • Ability to build clean, reliable, maintainable systems
Nice to Have
  • LangChain, LangGraph, LlamaIndex, or similar frameworks
  • OCR, PDF parsing, or document intelligence experience
  • Azure AI services experience
  • Vector database or pgvector experience
  • Prefect, Airflow, or orchestration tools
  • Experience with construction, procurement, legal, or document-heavy workflows
Ideal Candidate

You're a pragmatic engineer who understands that production AI requires more than prompts. You know how to build scalable systems with strong validation, clean architecture, and reliable workflows.

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About G2i

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Delray Beach, FL, US

Year founded

2012

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