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Fastapi Angular Jobs in Emerson, NJ (NOW HIRING)

Citigroup Inc.

Senior AI Engineer - Vice President

Jersey City, NJ · On-site

$142.32 - $213.48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deliver end-to-end Agentic AI solutions , focusing on Python backend services (FastAPI, asyncio ... Competence with NodeJs, React , Angular * Expert understanding of advanced NLP/NLU, Machine ...

1 point system

Application Developer

New York, NY · On-site

... FastAPI), or .NET *      Work with SQL Server, PostgreSQL, MongoDB, or Oracle to design ... js (or Angular, Vue.js) *      Proficiency in HTML5, CSS3, and responsive design ...

Merck & Co.

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site

$131.60 - $197.40/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Proficiency in frontend technologies such as React, Angular or Vue.js and AI enablement solutions such as Cursor. * Strong experience with backend frameworks like Node.js, Python (Flask, FastAPI ...

New

Bayer

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Proficiency in frontend technologies: such as React, Angular, or Vue.js, and AI enablement solutions such as Cursor; Strong experience with backend frameworks: like Node.js, Python (Flask, FastAPI ...

Apex Systems

AI/ML Engineer

Jersey City, NJ · On-site

$89.54 - $93.68/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Rest API, FastAPI, and Websockets.* Familiarity with enterprise databases such as Redis, Qdrant, or Cockroach.Preferred Qualifications* Angular experience is a plus.* Experience with ...

Morgan Stanley

Vice President, Strats

New York, NY · On-site

$225K - $250K/yr

Implementing Back-end development utilizing APIs, REST, SOAP, FastAPI, Flask, Node.js; * Front-end development using Angular, jQuery, HTML, CSS, and SCSS; * Data visualization using Plotly, Dash, and ...

Morgan Stanley

Vice President, Strats

New York, NY · Hybrid

$225K - $250K/yr

Implementing Back-end development utilizing APIs, REST, SOAP, FastAPI, Flask, Node.js; * Front-end development using Angular, jQuery, HTML, CSS, and SCSS; * Data visualization using Plotly, Dash, and ...

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Fastapi Angular information

See Emerson, NJ salary details

$35

$59

$76

How much do fastapi angular jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for fastapi angular in Emerson, NJ is $59.81, according to ZipRecruiter salary data. Most workers in this role earn between $53.85 and $65.87 per hour, depending on experience, location, and employer.

What is a FastAPI Angular developer?

FastAPI Angular developers are software professionals skilled in building web applications using FastAPI, a modern Python web framework for creating APIs, and Angular, a popular front-end framework for building dynamic user interfaces. These developers typically handle both back-end API development and front-end UI design, enabling seamless communication between client and server. Their expertise allows them to create scalable, efficient, and interactive web applications by leveraging the strengths of both technologies.

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

To thrive as a FastAPI Angular Developer, you need strong proficiency in Python, FastAPI, RESTful API development, front-end JavaScript/TypeScript, and Angular framework fundamentals, typically supported by a degree in computer science or related experience. Familiarity with tools such as Git, Docker, SQL/NoSQL databases, and relevant certifications in web development or cloud services is highly valuable. Excellent problem-solving, teamwork, and communication skills set outstanding developers apart in this role. These skills ensure efficient delivery of scalable, maintainable, and high-performing full-stack applications that meet business needs.

How do FastAPI Angular developers typically collaborate with backend and frontend teams in a project environment?

FastAPI Angular developers often serve as a bridge between backend and frontend teams, ensuring seamless integration of APIs and user interfaces. They collaborate closely with backend engineers to design efficient RESTful endpoints and work with frontend teams to deliver responsive, interactive UI components. Regular communication, code reviews, and joint planning sessions are common, fostering a collaborative environment where issues can be addressed rapidly and features delivered efficiently. This collaborative workflow helps ensure that both the API and UI evolve in sync to meet project goals.

What is the difference between Fastapi Angular vs Backend Developer?

AspectFastapi AngularBackend Developer
Primary FocusDeveloping full-stack web applications using Fastapi (Python) and Angular (TypeScript)Building server-side logic, APIs, and database integration, often with various frameworks
Required SkillsPython, Fastapi, Angular, JavaScript/TypeScript, REST APIsLanguages vary (Python, Java, Node.js), API development, database management
Work EnvironmentFull-stack development teams, agile projects, web application projectsBackend teams, API services, server-side architecture

Fastapi Angular roles focus on creating complete web applications combining frontend and backend using specific technologies, while Backend Developers typically concentrate on server-side logic and API development across various frameworks. Fastapi Angular developers often work in full-stack teams, whereas Backend Developers may specialize in backend systems across different industries.

What cities near Emerson, NJ are hiring for Fastapi Angular jobs?

Cities near Emerson, NJ with the most Fastapi Angular job openings:

Fastapi Angular jobs near you
Infographic showing various Fastapi Angular job openings in Emerson, NJ as of August 2026, with employment types broken down into 80% Full Time, 4% Part Time, and 16% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $124,402 per year, or $59.8 per hour.

AI Engineer - Google AI & Generative Intelligence - Full Time Role

Saransh Inc

Paramus, NJ • On-site

$98K - $135K/yr

Full-time

Re-posted 13 days ago

Job description

Role: AI Engineer – Google AI & Generative Intelligence
Location: Paramus, NJ (All the 5 days a week onsite is required)
Job Type: Full Time
 
Experience Required: 10–15 Years in Software Engineering | 3+ Years in Artificial Generative Intelligence
 
Role Overview:
  • We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies and Generative AI.
  • The ideal candidate brings 10–15 years of broad software engineering experience, with the last 2+ years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems.
  • This role demands mastery of the Google ecosystem — including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI — alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices.
Key Responsibilities:
1. AI Engineering
Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks.
2. Google AI & Workspace Integration
Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse.
Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK).
Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping.
Utilize Google Cloud Platform (GCP) services including:
Vertex AI for ML model training, tuning, and deployment
Vertex AI Vector DBs for semantic search and retrieval
3. Design & Planning
Lead requirements gathering using Confluence for documentation and team collaboration.
Create detailed system architecture diagrams and AI workflows using Lucidchart.
Manage project delivery and sprint planning using Jira.
4. Development Frameworks & Tools
Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph.
Build multi-agent systems with Semantic Kernel, and LangGraph.
Manage and optimize prompts using LangSmith and PromptLayer.
Manage code and data versioning with Git.
5. Vector Databases & Semantic Search
Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB.
Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval.
6. Backend Development
Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js).
Manage and secure APIs using Mulesoft, Apigee.
7. Frontend Development
Drupal Content Management System (PHP Backend + JS Frontend) - Drupal 10.4, PHP 8.1
Build modern user interfaces using React or Angular.
Utilize Material-UI for consistent, accessible, and modern UI components.
OAuth2 authentication.
8. Development Tools & Code Quality
Write and debug code in VS Code with Python and GitHub Copilot extensions.
Manage source code with GitHub or GitLab.
Enforce code quality and standards using SonarQube, ESLint, and Pylint.
9. Testing & Quality Assurance
Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation.
Use LangSmith Evaluators for prompt testing and hallucination detection.
Write and execute unit tests using pytest.
Ensure output quality and reliability using LangChain Evaluators and custom metrics.
10. Deployment & Infrastructure.
 Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference.
 
Required Qualifications:
  • 10–15 years of overall software engineering experience.
  • 3+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems.
  • Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations.
  • Proficiency in Python (primary) and familiarity with Node.js.
  • Strong background in cloud-native development on GCP.
  • Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.