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Internship Fastapi Jobs in Miami, FL (NOW HIRING)

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL · On-site

... internship program. • Programming Fundamentals: Proficiency in Python and/or TypeScript. Familiarity with server-side frameworks (FastAPI, Express, or similar) for building APIs and services.

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How much do internship fastapi jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship fastapi in Miami, FL is $14.87, according to ZipRecruiter salary data. Most workers in this role earn between $11.97 and $16.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship FastAPI developer, and why are they important?

To thrive as an Internship FastAPI developer, you need a solid understanding of Python programming, RESTful API concepts, and basic web development principles. Familiarity with FastAPI, version control systems like Git, and experience using tools such as Docker or Postman are typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns collaborate and quickly adapt to new challenges. These skills and qualities are crucial for efficiently contributing to API development projects and succeeding in a fast-paced learning environment.

What types of projects can interns expect to work on during a FastAPI internship?

As a FastAPI intern, you will typically work on building and enhancing backend APIs, often as part of a development team focused on creating scalable web services or integrating third-party APIs. Projects may include implementing new endpoints, optimizing performance, writing automated tests, and collaborating with frontend developers to ensure seamless data flow. You'll gain experience with asynchronous programming, modern Python practices, and tools like Docker and Git, while often participating in code reviews and agile sprint meetings. This hands-on exposure is valuable for understanding real-world backend development workflows and best practices.

What is an Internship in FastAPI?

An Internship in FastAPI is a temporary position for students or recent graduates to gain hands-on experience working with FastAPI, a modern Python web framework for building APIs. Interns typically assist in developing, testing, and deploying web applications using FastAPI, often under the guidance of experienced developers. This internship helps participants strengthen their Python programming skills, learn best practices in API development, and understand the workflow of real-world software projects. It also offers networking opportunities and can serve as a stepping stone to a full-time role in backend or web development.

What is the difference between Internship Fastapi vs Junior Backend Developer?

AspectInternship FastapiJunior Backend Developer
Required CredentialsBasic programming knowledge, coursework, or self-study in Python and FastapiDegree in Computer Science or related field, some experience with backend frameworks
Work EnvironmentInternship setting, learning-focused, often in tech companies or startupsFull-time or part-time employment, collaborative team environment
Industry UsageEntry-level, training, and skill development phaseDeveloping and maintaining backend services in production

Internship Fastapi positions are designed for learners gaining hands-on experience with Fastapi and Python, often as part of an internship program. Junior Backend Developers are more experienced, responsible for building and maintaining backend systems in a professional setting. While internships focus on learning, junior roles involve applying skills to real-world projects.

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Internship Fastapi jobs near you
Junior AI Engineer - Co-op

Junior AI Engineer - Co-op

Rialto Capital

Miami, FL

Full-time

Posted 21 days ago

Job description

KEY RESPONSIBILITIES:

The AI Engineering Intern will join Rialto's Information Engineering team, working at the intersection of enterprise data and AI. This role focuses on building integrations that connect Rialto's enterprise platforms and databases to Claude and other AI assistants, enabling the firm's investment professionals to interact with critical business data through natural language. You will work closely with senior engineers, data engineers, and business stakeholders to build, test, and deploy production-grade AI data integrations.

MCP Server Development:

Design, build, and maintain Model Context Protocol (MCP) servers that expose Rialto's enterprise data sources to AI assistants such as Claude, ChatGPT, and Gemini. Work with platforms including DealCloud, Snowflake, Neo4j, Appian, Investran, and Microsoft 365.

Enterprise Data Integration:

Build connectors and APIs that bridge Rialto's diverse data ecosystem, including relational databases, data warehouses, knowledge graphs, and SaaS platforms, so that AI tools can securely query and surface business-critical information.

Data Modeling & Schema Design: Help define the data schemas, tool definitions, and resource descriptions that MCP servers expose to AI models, ensuring data is structured for accurate and useful AI-driven responses.

Testing & Prototyping: Rapidly prototype new MCP integrations, test them against real business workflows, and iterate based on feedback from investment management, asset management, and operations teams.

Collaboration & Communication: Work alongside the Information Engineering team, data engineers, and business users across Investment Management, Asset Management, Legal, Finance, and Operations to gather requirements, troubleshoot issues, and deliver AI-powered data access solutions.

SPECIFICATIONS:

Current Juniors and Seniors: 6 month co-op internship preferred or 10 week standard internship program.

Programming Fundamentals: Proficiency in Python and/or TypeScript. Familiarity with server-side frameworks (FastAPI, Express, or similar) for building APIs and services. Experience using AI coding agents such as Claude Code or Codex to accelerate development is a strong plus.

API & Protocol Development: Familiarity with RESTful APIs, JSON-RPC, or similar protocols. Understanding of the Model Context Protocol (MCP) specification is a strong plus. Experience with frontend frameworks (React) is helpful but not required.

Cloud & Infrastructure: Basic understanding of cloud platforms (Azure preferred), containerization (Docker), and CI/CD pipelines. Exposure to serverless or container-based deployment patterns is a plus.

Data & Database Proficiency: Working knowledge of SQL and experience querying relational databases or data warehouses. Exposure to graph databases (Neo4j/Cypher) or cloud data platforms (Snowflake, Azure Fabric) is a plus. Version control (Git) required.

AI & LLM Integration: Demonstrated curiosity about or experience with Large Language Models, prompt engineering, AI tool integration, or chatbot development. Hands-on experience with Claude, ChatGPT, or similar AI platforms is a strong plus.

Detail-Oriented: Exhibits precision when building integrations, writing data schemas, and testing AI-powered workflows against real business scenarios.

Team-Focused & Collaborative: Enjoys working in a cross-functional environment and learning from senior engineers.

Adaptable & Innovative: Embraces new challenges in a fast-evolving AI landscape, proposing creative solutions and improvements.

Positive Attitude & Enthusiasm: Approaches tasks with energy, resilience, and a desire to learn.

Strong Interest in Real Estate & Alternative Investments (Preferred): Not required, but helpful for understanding the business context of AI solutions at Rialto.

While performing the duties of this job, the Associate is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop. The Associate must occasionally lift and/or move up to 25 pounds. Evening or weekend work may be necessary to meet deadlines.

This description outlines the basic tasks and requirements for the position noted. It is not a comprehensive listing of all job duties.

Rialto Capital is committed to the principles of Equal Employment Opportunity. Our policy is to provide equal employment opportunity to all applicants and Associates without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age (40+), disability, veteran status, genetic information (including family medical history), or any other legally protected status.

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees.

To learn more about E-Verify, including your rights and responsibilities please visit: e-verify.gov.

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