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Fastapi Developer Jobs in New Jersey (NOW HIRING)

Develop robust, modular, and testable Python applications and APIs using frameworks like FastAPI ... Engineer and manage effective prompts for tasks like Q&A, semantic search, content generation, or ...

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Develop APIs and endpoint services using FastAPI or Flask. * Collaborate with offshore teams to ...

Python Developer

Pennington, NJ · On-site

$50.75 - $70/hr

Core Python, Flask, GraphQL, FASTAPI, React, MUI. * Next.JS, Remix, Tailwind. * Microservices, Linux, PostgreSQL & Podman. Roles & Responsibilities: * Understand Client Requirement & Translate in ...

Python Developer

Pennington, NJ · On-site

$110K - $120K/yr

Based on your experience, I believe you could Python Developer with one of our clients, through an ... GC EAD,GC,US Citizen Must Have Technical/Functional Skills Core Python, Flask, GraphQL, FASTAPI ...

... Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI ... Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/Google Cloud ...

$140K - $145K/yr

Job Title: Sr/ AI/ML Engineer (GenAI & Agentic AI) Duration: Full Time Location : Whippany, NJ ... Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/Google Cloud ...

NJ

$51 - $70.25/hr

Senior Python Web Developer Locations: Warren, NJ - Hybrid Duration: 6+Months with possible ... Experience with modern Python web frameworks such as Flask, FastAPI, or Django. * Experience ...

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Fastapi Developer information

See New Jersey salary details

$17

$53

$82

How much do fastapi developer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for fastapi developer in New Jersey is $53.64, according to ZipRecruiter salary data. Most workers in this role earn between $41.01 and $65.62 per hour, depending on experience, location, and employer.

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

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 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 most commonly searched types of Fastapi Developer jobs in New Jersey? The most popular types of Fastapi Developer jobs in New Jersey are:
What are popular job titles related to Fastapi Developer jobs in New Jersey? For Fastapi Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Fastapi Developer jobs in New Jersey look for? The top searched job categories for Fastapi Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Fastapi Developer jobs? Cities in New Jersey with the most Fastapi Developer job openings:
Infographic showing various Fastapi Developer job openings in New Jersey as of June 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $111,579 per year, or $53.6 per hour.

AI ML developer

Group Nine

Raritan, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: AI ML developer

Location: Raritan, NJ

Experience: 1–5 Years

We are seeking an AI ML Developer with a strong foundation in Generative AI (GenAI) to develop and deploy AI-enabled applications and services. The role focuses on building scalable Python-based backends and integrating Large Language Models (LLMs) into real-world workflows. The ideal candidate combines strong Python development skills with hands-on experience using APIs or frameworks like OpenAI, Hugging Face, LangChain, or LlamaIndex to create intelligent and interactive applications.

 

Key Responsibilities:

  • Develop robust, modular, and testable Python applications and APIs using frameworks like FastAPI, Flask, or Django.
  • Build backend services that consume or serve LLM responses, handle session context, and manage prompt workflows.
  • Optimize performance, concurrency, and error handling for GenAI-powered applications.
  • Integrate with LLM APIs (OpenAI, Azure OpenAI, Cohere, Gemini, Claude, Hugging Face, etc.) to build intelligent assistants, summarization tools, and AI copilots.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using frameworks such as LangChain, LlamaIndex, or Haystack.
  • Engineer and manage effective prompts for tasks like Q&A, semantic search, content generation, or entity extraction.
  • Work with embedding models (e.g., Sentence Transformers, OpenAI Embeddings, BERT) to convert unstructured text into vector representations.
  • Integrate and query vector databases like FAISS, Pinecone, Weaviate, or ChromaDB to power semantic search or document retrieval.
  • Package and deploy GenAI services using Docker, Kubernetes, or AWS Lambda for scalable access.
  • Collaborate with DevOps and platform teams to integrate CI/CD pipelines, logging, and monitoring.

 

Required Skills & Qualifications

  • Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
  • 2–5 years of hands-on Python development experience, with emphasis on backend/API design.
  • Experience integrating GenAI or NLP models using OpenAI, Hugging Face Transformers, Cohere, etc.
  • Proficiency with RESTful APIs, JSON handling, and web-based integration patterns.