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Fastapi Angular Jobs in Emerson, NJ (NOW HIRING)

Ford Motor Company

Senior Software Engineer

Manhattan, NY · On-site

$113K - $192K/yr

... Angular, React, or Vue). * 3+ years of experience with backend frameworks (FastAPI, Flask, Django, or Spring Boot). * 2+ years of experience with Python (highly preferred for AI/Data) and/or Java.

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How much do fastapi angular jobs pay per hour?

As of Jun 25, 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 are the key skills and qualifications needed to thrive as a FastAPI Angular Developer, and why are they important?

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.

What are FastAPI Angular developers?

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 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.

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 job categories do people searching Fastapi Angular jobs in Emerson, NJ look for? The top searched job categories for Fastapi Angular jobs in Emerson, NJ are:
Fastapi Angular jobs near you
AI Architect - Paramus, NJ / Hybrid (Require local candidates)

AI Architect - Paramus, NJ / Hybrid (Require local candidates)

USG, Inc.

Paramus, NJ • On-site

Other

Posted 2 days ago

USG rating

8.2

Company rating: 8.2 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

77th of 520 rated manufacturers

Job description

Hope you are fine.

I have multiple opportunities for AI Architect with my client. Please go through the below job description and let me know your interest for the same

Role Name: AI Architect

Work site: Paramus, NJ / Hybrid

Employment Type: Full-Time

Job Summary

AI Architect – Google AI & Generative Intelligence

Experience Required: 12–18 Years in Software Engineering | 7+ Years in AI/ML & Generative AI

Role Overview

We are seeking a highly accomplished AI Architect with deep expertise in Google AI technologies and Generative AI to lead the design and implementation of enterprise-scale AI solutions. This role requires strong architectural vision, hands-on technical depth, and leadership in building production-grade AI systems leveraging LLMs, SLMs, and multi-agent frameworks.

The ideal candidate will drive AI strategy, define scalable architectures, and lead cross-functional teams in delivering cutting-edge AI-powered applications using the Google Cloud ecosystem, modern AI frameworks, and robust MLOps practices.

Key Responsibilities

1. AI Architecture & Strategy

  • Define end-to-end AI/GenAI architecture for enterprise-grade applications.  
  • Establish best practices for LLM/SLM adoption, multi-agent systems, and RAG architectures.
  • Drive AI platform strategy leveraging Google Cloud (Vertex AI, GKE, Cloud Run).
  • Lead architecture reviews, technical governance, and design standards.

2. LLM / SLM & Generative AI Solutions

  • Architect solutions using commercial LLMs such as Gemini, GPT, and Claude.
  • Design scalable systems using open-source models (Mixtral, Mistral, Gemma, Phi-3).
  • Define strategies for fine-tuning (LoRA, QLoRA, PEFT) and model optimization.
  • Oversee model evaluation frameworks and benchmarking (HELM, lm-eval, RAGAS).

3. Google AI Ecosystem Leadership

  • Lead adoption of:
    • Vertex AI for model lifecycle management
    • Google Agent Development Kit (ADK) for intelligent agents
    • Google Workspace integrations (Docs, Sheets, Gmail, Drive, Meet)
  • Architect solutions using BigQuery, Lakehouse, and Vector Databases.

4. AI Platform & MLOps Architecture

  • Design scalable MLOps pipelines for training, deployment, and monitoring.
  • Define CI/CD strategies for AI systems using GitHub Actions / GitLab CI.
  • Establish observability frameworks using LangSmith, MLflow, Weights & Biases.  
  • Optimize infrastructure cost and performance across cloud and hybrid environments.

5. Multi-Agent Systems & AI Frameworks

  • Architect complex workflows using:
    • LangChain, LlamaIndex, LangGraph
    • Semantic Kernel for multi-agent orchestration
  • Design intelligent automation pipelines and agent collaboration patterns.

6. Data & RAG Architecture

  • Design enterprise RAG pipelines using Vertex AI Vector DB, ChromaDB.  
  • Define data ingestion, transformation, and governance strategies.
  • Architect semantic search and knowledge retrieval systems.

7. Application & Integration Architecture

  • 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 applications.

8. Engineering Leadership

  • Provide technical leadership and mentorship to AI/ML engineers.
  • Collaborate with product, data, and engineering teams for solution delivery.
  • Lead design documentation, architecture diagrams, and technical roadmaps.
  • Ensure adherence to coding standards, testing, and quality frameworks.

9. Deployment & Infrastructure

  • Architect deployments across:
    • Google Cloud Platform (Vertex AI, GKE, Cloud Run)
    • Hybrid and on-prem environments
    • Edge AI use cases
  • Ensure scalability, reliability, and security of AI systems.

10. AI Governance & Responsible AI

  • Define frameworks for AI ethics, bias mitigation, and explainability.
  • Establish governance for model lifecycle, monitoring, and compliance.
  • Implement safeguards for hallucination detection and output validation.

Required Qualifications

  • 12–18 years of software engineering experience.
  • 7+ years in AI/ML with strong focus on Generative AI and LLMs.
  • Deep expertise in Google AI ecosystem (Vertex AI, Gemini, ADK, AI Studio).
  • Strong experience in LLMs, SLMs, RAG, and multi-agent architectures.
  • Proficiency in Python and familiarity with Node.js.
  • Hands-on experience with MLOps, CI/CD, and cloud-native architecture (Google Cloud Platform).
  • Proven experience designing scalable, production-grade AI systems.

Preferred Qualifications

  • Google Cloud Certifications (Professional ML Engineer / Cloud Architect).
  • Experience contributing to open-source AI/ML projects.
  • Expertise in edge AI and hybrid cloud deployments.
  • Experience building enterprise AI platforms or COEs.
  • Strong leadership experience mentoring and scaling AI teams

Key Skills Summary

  • Generative AI (LLMs, SLMs, RAG, Agents)
  • Google Cloud AI Stack (Vertex AI, Gemini, ADK)
  • AI Frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel)
  • MLOps & Observability (MLflow, W&B, LangSmith)
  • Cloud & Infrastructure (Google Cloud Platform, Kubernetes, Serverless)
  • Backend & APIs (FastAPI, Node.js, Apigee)
  • Data & Vector DBs (BigQuery, ChromaDB, Vector Search)

Jaya Kushwaha

Associate  Manager – Recruitment 

Email:

USG Inc. | Vistara Solutions Inc.

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