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Senior Fastapi Jobs in New York (NOW HIRING)

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Senior Staff Data Engineer is a hands-on role and will be the primary architect and technical lead ... Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to ...

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Senior Backend Engineer

New York, NY · On-site

$85K - $240K/yr

Senior Backend Engineer Doctronic | New York City ONSITE (Hybrid) | Reports to CEO The Mission Let ... Scalable APIs using Python, FastAPI, AWS handling millions of monthly requests * RESTful API ...

They are seeking a Senior Backend Engineer to strengthen their engineering team by building the ... Responsibilities : • Design and code backend services in Python /FastAPI and data-store ...

Responsibilities Peraton Labs is seeking a Senior AI Integration Developer to lead the design and ... FastAPI backend, React frontend, and PostgreSQL database). Key responsibilities may include:

Responsibilities Peraton Labs is seeking a Senior AI Integration Developer to lead the design and ... FastAPI backend, React frontend, and PostgreSQL database). Key responsibilities may include:

Responsibilities Peraton Labs is seeking a Senior AI Integration Developer to lead the design and ... FastAPI backend, React frontend, and PostgreSQL database). Key responsibilities may include:

Senior Python Web Developer - Only W2

Warren, NJ · On-site

$126K - $169K/yr

Senior Python Web Developer Location: Warren, NJ (Onsite - 3 days a week to biweekly, subject for ... Experience with modern Python web frameworks such as Flask, FastAPI, or Django. * Experience ...

Responsibilities Peraton Labs is seeking a Senior AI Integration Developer to lead the design and ... FastAPI backend, React frontend, and PostgreSQL database). Key responsibilities may include:

Showing results 41-60

Senior Fastapi information

What is the difference between Senior Fastapi vs Backend Developer?

AspectSenior FastapiBackend Developer
Primary FocusBuilding APIs with Fastapi frameworkDeveloping server-side logic across various frameworks
Required SkillsPython, Fastapi, async programming, REST API designPython, multiple frameworks (Django, Flask, Fastapi), database management
Work EnvironmentTech companies, startups, cloud-based projectsVaried industries, enterprise and startup environments
CertificationsPython certifications, Fastapi experiencePython certifications, general backend development certifications

Senior Fastapi specialists focus specifically on building high-performance APIs using the Fastapi framework, often requiring expertise in async programming and REST API design. Backend Developers have a broader scope, working across multiple frameworks and technologies to develop server-side logic. While both roles require Python skills, Senior Fastapi roles are more specialized, whereas Backend Developers have a wider range of tools and responsibilities.

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Re-posted 17 days ago


Job description

Job Title - Senior AI & Platforms Engineer

Role Overview

We are seeking a Senior Engineer to build and scale our next-generation AI platforms.

Key Responsibilities

  • AI & Agentic Engineering: Design and implement autonomous multi-agent systems and cognitive architectures using cutting-edge agentic frameworks.
  • Backend Architecture: Build high-performance, asynchronous Python microservices and robust REST/gRPC APIs.
  • AIOps & CI/CD: Establish end-to-end MLOps/AIOps pipelines, automating the testing, deployment, and monitoring of AI models and data products.
  • Data Infrastructure: Architect scalable data pipelines and query patterns across data platforms such as Snowflake/Databricks/Lakehouse.

Required Qualifications

  • Python Expertise: good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to distributed microservices.
  • Agentic Frameworks: Hands-on experience developing with frameworks like LangGraph, CrewAI, AutoGen, or Semantic Kernel.
  • Data Ecosystem: Deep technical proficiency with Snowflake, Databricks (Unity Catalog, Delta Lake), or Lakehouse architectures.
  • DevOps & AIops: Proven track record building CI/CD pipelines (GitHub Actions, GitLab CI) and monitoring infrastructure (Prometheus, Grafana, MLflow).


Contract Position

Implementing Partner – HCL tech

Contract Position
Location – New York, NY
Duration: 6-9 months (possible extensions)

Job Summary: 

Senior AI & Platforms Engineer

Role Overview

We are seeking a Senior Engineer to build and scale our next-generation AI platforms.

Key Responsibilities

  • AI & Agentic Engineering: Design and implement autonomous multi-agent systems and cognitive architectures using cutting-edge agentic frameworks.
  • Backend Architecture: Build high-performance, asynchronous Python microservices and robust REST/gRPC APIs.
  • AIOps & CI/CD: Establish end-to-end MLOps/AIOps pipelines, automating the testing, deployment, and monitoring of AI models and data products.
  • Data Infrastructure: Architect scalable data pipelines and query patterns across data platforms such as Snowflake/Databricks/Lakehouse.

Required Qualifications

  • Python Expertise: good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to distributed microservices.
  • Agentic Frameworks: Hands-on experience developing with frameworks like LangGraph, CrewAI, AutoGen, or Semantic Kernel.
  • Data Ecosystem: Deep technical proficiency with Snowflake, Databricks (Unity Catalog, Delta Lake), or Lakehouse architectures.
  • DevOps & AIops: Proven track record building CI/CD pipelines (GitHub Actions, GitLab CI) and monitoring infrastructure (Prometheus, Grafana, MLflow).