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Associate Fastapi Jobs in New York (NOW HIRING)

Junction

Growth Associate

New York, NY · On-site +1

$70/hr

Experience being an early or founding BDR or GTM Associate, where you had to build rather than ... Python (FastAPI), Go, PostgreSQL, Google Cloud Platform (Cloud Run, GKE, Cloud BigTable, etc ...

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TIAA

Software Engineer - Models Business

New York, NY · On-site

$143K - $195K/yr

Lead the design, development, and ongoing maintenance of FastAPI-based backend services powering ... We equip our associates with future-focused skills and AI tools that enable us to advance our ...

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All JobsAssociate Fastapi JobsAssociate Fastapi Jobs in New York

Associate Fastapi information

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

To thrive as an Associate FastAPI Developer, you need a strong understanding of Python programming, RESTful API design, and experience with the FastAPI framework, often supported by a relevant degree or coding bootcamp. Familiarity with databases (like PostgreSQL or MongoDB), version control systems (such as Git), and containerization tools (like Docker) is typically expected. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and deliver robust solutions. These skills ensure efficient, scalable API development and seamless integration within modern software engineering environments.

What is an Associate FastAPI developer?

An Associate FastAPI developer is an entry- to mid-level software professional who specializes in building web applications and APIs using FastAPI, a modern Python web framework. Their responsibilities often include developing endpoints, integrating databases, writing unit tests, and maintaining code quality. They typically work as part of a larger development team, assisting in the design and implementation of scalable and high-performance web services. Associate FastAPI developers are expected to have a good understanding of Python, RESTful API principles, and basic knowledge of asynchronous programming.

What is the difference between Associate Fastapi vs Associate Python Developer?

AspectAssociate FastapiAssociate Python Developer
Required CredentialsKnowledge of Fastapi, Python, REST APIsProficiency in Python, basic web frameworks
Work EnvironmentBackend development, API design, cloud deploymentApplication development, scripting, software projects
Employer & Industry UsageTech companies, startups, SaaS providersSoftware firms, tech departments, startups
Common Search & ComparisonYesYes

The main difference between an Associate Fastapi and an Associate Python Developer lies in their focus areas. An Associate Fastapi specializes in building APIs using the Fastapi framework, requiring specific knowledge of Fastapi and REST API design. In contrast, an Associate Python Developer has broader Python programming skills applicable to various software development tasks. Both roles are common in tech environments, but Fastapi roles are more specialized towards API development and deployment.

What are common challenges faced by an Associate FastAPI Developer, and how can I prepare for them?

As an Associate FastAPI Developer, you may encounter challenges such as understanding asynchronous programming patterns, integrating FastAPI with various databases, and ensuring robust API documentation. It's also common to collaborate closely with frontend teams and DevOps engineers, which requires clear communication and an understanding of deployment workflows. To prepare, familiarize yourself with Python async features, explore automated API documentation tools like Swagger, and practice deploying FastAPI applications in cloud or containerized environments.
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Associate Fastapi jobs near you
AI Engineer with Databricks

AI Engineer with Databricks

RIT Solutions, Inc.

Manhattan, NY

Other

Posted 19 days ago

Job description

AI Engineer with Databricks
Location: Charlotte, NC
Position Type: Contract
Job Summary
• We are seeing a highly skilled senior AI Engineer to join our innovative team.
• The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks.
• You will integrate AI powered solutions across multiple channels like Web applications, etc.
Key Responsibilities:
• Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks.
• Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring.
• Build and manage AI agents for automation and advanced conversational experiences.
• Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints, async workers, and SDK-based clients.
• Collaborate with cross functional teams to gather requirements, design conversational flows, and implement scalable solutions.
• Monitor and optimize AI model performance, ensuring reliability and accuracy.
• Develop reusable components and pipelines in Azure AI and Databricks for rapid solution deployment.
• Ensure adherence to data privacy and security standards within all AI implementations.
Technical skills and qualifications:
• BS or MS in Computer Science, Engineering, or related fields
• Proven experience working with Azure AI services (e.g. Azure OpenAI, Azure Bot service, Cognitive services, Copilot)
• Hands-on experience with Databricks Genie and building AI agents for enterprise use cases.
• Familiarity with MCP for secure and standardized integration of AI models with external tools and APIs.
• Strong understanding of NLPs, LLMs and RESTful API integration.
• Familiarity with Microsoft Copilot, Github Copilot, Azure AI Services, Databricks including practical experience with Azure Machine Learning and Azure Open AI
• Proven experience with AI/ML model evaluation, deep understanding of machine learning algorithms and data processing techniques
• Expertise in designing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models.
• Experience integrating AI with applications using Python frameworks( FastAPI, Django, Flask ), task queues, and observability.
• Intermediate programming skills in Python with a focus on developing secure and scalable AI solutions.
Preferred qualifications:
• Microsoft Certified: Azure AI Engineer Associate or equivalent
• Databricks Certified: Generative AI Engineer Associate or equivalent
• Experience with Prompt engineering and AI lifecycle management.
• Knowledge of DevOps/MLOps practices for AI model deployment on Azure.
• Familiarity with agile methodologies and CI/CD pipelines in Azure DevOps and GitHub.

Apply