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Fastapi Developer Jobs in Missouri City, TX (NOW HIRING)

Catalyst Labs

ML Engineer

Houston, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing ... Preferred : • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Write production-quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows * Lead A/B experiments and product analytics to measure AI ...

Fervo Energy

Agentic AI Engineer

Houston, TX

Strong Python skills, including async patterns, API design with FastAPI, and writing testable ... engineering * Experience implementing RAG architectures with vector databases (Azure AI Search ...

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

Strong Python skills, including async patterns, API design with FastAPI, and writing testable ... engineering * Experience implementing RAG architectures with vector databases (Azure AI Search ...

Stanfordclimateventures

Agentic AI Engineer

Houston, TX · On-site

$125 - $150/hr

Strong Python skills, including async patterns, API design with FastAPI, and writing testable ... engineering * Experience implementing RAG architectures with vector databases (Azure AI Search ...

CGI

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

Build and integrate REST APIs using frameworks such as FastAPI. . Develop AI and Generative AI ... Work within DevOps and CI/CD processes using tools such as Azure DevOps and Git What You'll Bring:

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Fastapi Developer information

See Missouri City, TX salary details

$14

$46

$71

How much do fastapi developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for fastapi developer in Missouri City, TX is $46.18, according to ZipRecruiter salary data. Most workers in this role earn between $35.29 and $56.49 per hour, depending on experience, location, and employer.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What job categories do people searching Fastapi Developer jobs in Missouri City, TX look for?

The top searched job categories for Fastapi Developer jobs in Missouri City, TX are:

What cities near Missouri City, TX are hiring for Fastapi Developer jobs?

Cities near Missouri City, TX with the most Fastapi Developer job openings:

Fastapi Developer jobs near you
Infographic showing various Fastapi Developer job openings in Missouri City, TX as of August 2026, with employment types broken down into 80% Full Time, 6% Part Time, and 14% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $96,050 per year, or $46.2 per hour.

ML Engineer

Houston, TX • On-site

Catalyst Labs
See more jobs at Catalyst Labsexternal

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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