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Fastapi Jobs in New Jersey (NOW HIRING)

ZS

Senior AI Engineer

Princeton, NJ · On-site

$110K - $151K/yr

Experience in backend API design using FastAPI or similar asynchronous frameworks (e.g., Flask, Django), including async patterns and rate limiting. * Experience with vector databases, including:

Sarian, Inc.

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 ...

Digital Links Inc

AI Solution Architect

Princeton, NJ · On-site

$66 - $87/hr

The primary language for AI/ML development (with frameworks like Django, Flask, or FastAPI). React JS: For building dynamic and data-driven user interfaces. Related Technologies: JavaScript ...

Magnus Technology Solutions

Be Seen First

Forward Deployed Engineer

Jersey City, NJ · On-site

$60K - $80K/yr

Build scalable Python applications and REST APIs using FastAPI or similar frameworks. * Design and implement ETL and data processing pipelines. * Work with PostgreSQL, NoSQL databases, and vector ...

Noblesoft Technologies

AI Architect

Paramus, NJ · On-site

Define backend architecture using FastAPI / Node.js APIs. * Architect API management and security using Apigee / MuleSoft. * Guide frontend architecture using React / Angular for AI-driven ...

Peraton

Full-Stack Software Engineer

Red Bank, NJ

$104K - $166K/yr

Build and improve features across the full stack - React frontend, FastAPI backend, and TypeScript/Node.js services * Understand user workflows and use cases; identify improvements without waiting ...

InterSources Inc

Gen AI Engineer

Edison, NJ · On-site

Required : • Strong hands-on Python knowledge • Hands-on experience in developing API Development in Python using FastAPI/ Flask framework • Working experience in Data Processing, AI enabled ...

United States Cold Storage

Software Engineer I

Camden, NJ · On-site

$85K - $100K/yr

FastAPI and Modern Web Frameworks * React-Based User Interfaces * PostgreSQL Databases * Microsoft Azure Cloud Services * Azure Function Apps * Azure App Services * Azure Batch Processing * Snowflake ...

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How much do fastapi jobs pay per year?

As of Sep 3, 2026, the average yearly pay for fastapi in New Jersey is $131,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,076.00 and $136,802.00 per year, depending on experience, location, and employer.

What is a FastAPI?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

What are the typical daily responsibilities of a FastAPI developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What are the key skills and qualifications needed to thrive in the FastAPI position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the most commonly searched types of Fastapi jobs in New Jersey?

The most popular types of Fastapi jobs in New Jersey are:

What are popular job titles related to Fastapi jobs in New Jersey?

For Fastapi jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Fastapi jobs in New Jersey look for?

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Fastapi jobs near you
Infographic showing various Fastapi job openings in New Jersey as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 2% Temporary, and 6% Contract. Highlights an 73% Physical, 8% Hybrid, and 19% Remote job distribution, with an average salary of $131,916 per year, or $63.4 per hour.

Senior AI Engineer

ZS

Princeton, NJ • On-site

$110K - $151K/yr

Full-time

Re-posted 6 days ago

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
Responsibilities:
  • Build, refine, and use ML Engineering platforms and components; develop and implement scalable backend systems, APIs, and microservices using FastAPI.
  • Implement MLOps including model KPI measurement, tracking, model drift detection, and model feedback loops.
  • Deploy and operationalize ML and Deep Learning models, with a strong focus on LLMs and Generative AI.
  • Integrate Azure OpenAI (GPT-4, GPT-4 Vision) and other LLM providers with proper retry logic and error handling.
  • Maintain up-to-date knowledge of state-of-the-art technologies such as LLMs, GenAI, and transformer architectures.
  • Scale machine learning algorithms to work on massive data sets under strict SLAs.
  • Build and orchestrate model pipelines including feature engineering, inferencing, and continuous model training.
  • Write backend application code in Python and SQL using strong object-oriented principles and asynchronous programming (asyncio, async/await).
  • Implement dependency injection patterns and layered architecture (Service, Foundation, Orchestration, DAL).
  • Build LLM observability (e.g., Langfuse) to track prompts, tokens, costs, and latency.
  • Develop prompt management systems with versioning and fallback mechanisms.
  • Implement Celery (or similar) workflows for asynchronous task processing and complex pipelines.

Qualifications:
  • Master's or bachelor's degree in Computer Science or a related field from a top university.
  • 4+ years of hands-on experience in Machine Learning, including production LLM systems.
  • Strong fundamentals in machine learning, deep learning, and fine-tuning models (LLMs), including:
  • Understanding of transformer architectures
  • Prompt engineering expertise
  • Embeddings and vector search
  • Experience in backend API design using FastAPI or similar asynchronous frameworks (e.g., Flask, Django), including async patterns and rate limiting.
  • Experience with vector databases, including:
  • Pinecone, Weaviate, or Chroma
  • Embedding storage and similarity search
  • Hybrid search implementations
  • Strong programming expertise in Python is a must, including:
  • Async programming (asyncio, async/await)
  • Type hints and Pydantic
  • SOLID principles and design patterns
  • PySpark/Scala is optional.
  • Knowledge of AI/ML concepts and experience integrating AI models into backend services is mandatory.
  • Experience with MLOps to measure and track model performance, including:
  • MLFlow for model tracking
  • Langfuse or similar tools for LLM observability (strongly preferred)
  • Model versioning and A/B testing
  • Experience working with NLP and computer vision, including:
  • Text extraction and preprocessing
  • Document understanding (layout, tables)
  • OCR processing
  • GPT-4 Vision or similar multimodal integration
  • Experience implementing:
  • Feature engineering pipelines
  • Real-time inferencing systems
  • Batch prediction pipelines
  • Model serving with FastAPI
  • Experience with ML frameworks, including:
  • HuggingFace (transformers, datasets) - mandatory
  • Keras/TensorFlow/PyTorch
  • LangChain - strongly preferred
  • LlamaIndex for RAG
  • Familiarity with database technologies such as SQL.
  • Good problem-solving skills and the ability to work in a fast-paced, team-oriented environment.

Additional Skills:
  • Understanding of DevOps and CI/CD, including:
  • Docker containerization
  • Azure DevOps pipelines or GitHub Actions
  • Kubernetes (nice to have)
  • Data security practices, including:
  • Multi-tenant data isolation
  • Secure key management (e.g., Azure Key Vault)
  • Audit trail implementation
  • Experience designing on cloud platforms:
  • Azure (strongly preferred): Azure OpenAI, Blob Storage, Key Vault, Container Registry
  • AWS or GCP
  • Experience with data engineering in Big Data systems, including large-scale data processing and ETL/ELT pipelines.
  • Rate limiting and quota management for high-throughput API usage.
  • Cost management and optimization for LLM usage at scale.
  • Document processing expertise (PDF extraction, OCR tooling).
  • Production incident management and on-call experience.
  • Testing strategies for non-deterministic LLM outputs (e.g., golden datasets, fuzzy matching).
  • Domain knowledge in regulated industries (e.g., healthcare/pharma workflows, regulatory compliance) is a plus.
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
ZS logo

About ZS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Evanston, IL, US

Year founded

1983

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