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Associate Fastapi Jobs in Jacksonville, FL (NOW HIRING)

Associate Fastapi information

See Jacksonville, FL salary details

$10

$18

$30

How much do associate fastapi jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for associate fastapi in Jacksonville, FL is $18.41, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $19.13 per hour, depending on experience, location, and employer.

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

To thrive as an Associate FastAPI Developer, you need a strong understanding of Python programming, RESTful API design, and experience with the FastAPI framework, often supported by a relevant degree or coding bootcamp. Familiarity with databases (like PostgreSQL or MongoDB), version control systems (such as Git), and containerization tools (like Docker) is typically expected. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and deliver robust solutions. These skills ensure efficient, scalable API development and seamless integration within modern software engineering environments.

What is an Associate FastAPI developer?

An Associate FastAPI developer is an entry- to mid-level software professional who specializes in building web applications and APIs using FastAPI, a modern Python web framework. Their responsibilities often include developing endpoints, integrating databases, writing unit tests, and maintaining code quality. They typically work as part of a larger development team, assisting in the design and implementation of scalable and high-performance web services. Associate FastAPI developers are expected to have a good understanding of Python, RESTful API principles, and basic knowledge of asynchronous programming.

What is the difference between Associate Fastapi vs Associate Python Developer?

AspectAssociate FastapiAssociate Python Developer
Required CredentialsKnowledge of Fastapi, Python, REST APIsProficiency in Python, basic web frameworks
Work EnvironmentBackend development, API design, cloud deploymentApplication development, scripting, software projects
Employer & Industry UsageTech companies, startups, SaaS providersSoftware firms, tech departments, startups
Common Search & ComparisonYesYes

The main difference between an Associate Fastapi and an Associate Python Developer lies in their focus areas. An Associate Fastapi specializes in building APIs using the Fastapi framework, requiring specific knowledge of Fastapi and REST API design. In contrast, an Associate Python Developer has broader Python programming skills applicable to various software development tasks. Both roles are common in tech environments, but Fastapi roles are more specialized towards API development and deployment.

What are common challenges faced by an Associate FastAPI Developer, and how can I prepare for them?

As an Associate FastAPI Developer, you may encounter challenges such as understanding asynchronous programming patterns, integrating FastAPI with various databases, and ensuring robust API documentation. It's also common to collaborate closely with frontend teams and DevOps engineers, which requires clear communication and an understanding of deployment workflows. To prepare, familiarize yourself with Python async features, explore automated API documentation tools like Swagger, and practice deploying FastAPI applications in cloud or containerized environments.
What are the most commonly searched types of Fastapi jobs in Jacksonville, FL? The most popular types of Fastapi jobs in Jacksonville, FL are:
What are popular job titles related to Associate Fastapi jobs in Jacksonville, FL? For Associate Fastapi jobs in Jacksonville, FL, the most frequently searched job titles are:
Infographic showing various Associate Fastapi job openings in Jacksonville, FL as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $38,292 per year, or $18.4 per hour.
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 26 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
Location: Hybrid - Chicago - Primary - If not possible we can get remote only if customer agrees to it based on associate
Duration: 6 months
skill id: 10795544
Gen AI Architect
"8+ years of total software engineering and technical architecture experience
3+ years of hands-on experience designing and deploying enterprise Gen AI or agentic workflows into production environments
Experience conducting client-facing technical workshops, architecting solutions for RFPs, and translating complex business requirements into robust designs
Programming: Advanced Python (Pandas, PyTorch, Hugging Face, Scikit-Learn)
Frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen
Cloud Platforms: AWS (Bedrock), Azure (Azure OpenAI), or GCP (Vertex AI)
Databases: Vector DBs (ChromaDB, Pinecone, FAISS, Weaviate)
Microservices: FastAPI, Flask, Spring Boot, REST APIs
DevOps / MLOps: Docker, Kubernetes, CI/CD pipelines, MLflow, model monitoring tools "
"Key Responsibilities
1. Architecture & Solution Design
System Design: Define end-to-end architectures for complex Gen AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multimodal models, and autonomous multi-agent systems
Reusable Patterns: Establish reusable architectural patterns, blueprint standards, and engineering templates to accelerate AI adoption and eliminate redundant engineering efforts
Integration Strategy: Design secure, cloud-native microservices and APIs (e.g., FastAPI, REST) to seamlessly connect AI orchestrators with enterprise data backends and legacy systems
2. Model & Agent Strategy
Orchestration & Agentic Systems: Architect and build multi-agent, goal-driven, autonomous AI systems utilizing frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex
Model Lifecycle & Strategy: Lead the evaluation, selection, and fine-tuning strategy for proprietary APIs (e.g., OpenAI, Anthropic, Gemini) and open-source models (e.g., Llama, Mistral) based on performance, latency, and cost
Prompt Engineering: Standardize advanced prompt engineering frameworks (e.g., chain-of-thought, few-shot prompting) to ensure deterministic and scalable model behavior
3. LLMOps, Infrastructure, & Data
Infrastructure Sizing: Define cloud infrastructure scaling models, GPU/TPU sizing strategies, and orchestration layouts (utilizing Docker, Kubernetes/OpenShift)
Vector Databases: Architect robust information retrieval utilizing vector search databases (e.g., Pinecone, Milvus, Weaviate, FAISS)
Operational Pipelines: Implement end-to-end GenAIOps/LLMOps pipelines for automated model deployment, performance monitoring, drift detection, and observability
4. Governance, Security, & Compliance
Responsible AI: Embed governance, security, and compliance guardrails by design into all AI architectures, ensuring protection against prompt injection, data leakage, and PII exposure
Quality Assurance & Testing: Implement evaluation frameworks to systematically test LLM accuracy, reduce hallucinations, and validate solution architectures "
Role Descriptions:
Essential Skills: Gen AI Architect
Desirable Skills:
Keyword:
Skills: AI & Gen AI - Products & Tools
Experience Required[RATE REDACTED], Project Code :