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Internship Python Api Developer Jobs in Jersey City, NJ

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

Role: GenAI Developer / Python Location: New York (Onsite) Role Summary: We are seeking a ... Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering ...

New

Lead Python Developer

New York, NY · Remote

$143K - $176K/yr

Lead Python Developer (Expert Level) Location: Remote (But need consultant from EST time zone ... Django, Flask, Fast API, must have and must be good with it * REST API * GCP experience * AI/ML, d ...

Nice to have: Python (especially for AI-related or integration use cases) * Cloud-native ... A hands-on API engineer with recent, real production experience * Strong in Java / Spring Boot

Position We are looking for Python/Django Full-Stack Engineer with a focus on the backend. The ... Strong understanding of API architecture, frontend JS frameworks, and frontend template development.

Sr Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

Python Developer 10+ Years exp with Very Strong Python Coding is needed Responsibilities ... Write clean and scalable code in Python (back end API for front end) and JavaScript (for front end ...

Senior Fullstack Engineer

Manhattan, NY · On-site

$112.29 - $179.71/hr

The stack pairs a modern web front end with a Python API service, a relational database, and cloud ... You will work closely with data science, data engineering, and product to turnmachine ...

New

Python Developer [Onsite]

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ Requirement: We're seeking an experienced Python ... Experience building REST API integrations, SFTP/file movement logic, and parameter-driven ...

Showing results 21-40

Internship Python Api Developer information

See Jersey City, NJ salary details

$13

$61

$90

How much do internship python api developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship python api developer in Jersey City, NJ is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can an internship Python API developer expect to work on during their internship?

As an Internship Python API Developer, you can expect to work on tasks such as designing, developing, and testing RESTful APIs using Python frameworks like Flask or Django. Daily responsibilities often include collaborating with senior developers, writing clean and efficient code, troubleshooting bugs, and participating in code reviews. Interns may also assist in documenting API endpoints and supporting integration with other services. Working closely with cross-functional teams, such as front-end developers and QA testers, is common to ensure seamless application functionality.

What is the difference between Internship Python Api Developer vs Python Developer?

AspectInternship Python Api DeveloperPython Developer
Required CredentialsBasic programming knowledge, coursework, or related internship experienceBachelor's degree in Computer Science or related field, relevant certifications
Work EnvironmentEntry-level, supervised, learning-focusedFull-time, independent project work, team collaboration
Employer & Industry UsageInternship programs in tech companies, startups, or software firmsTech companies, software development firms, startups

The main difference between an Internship Python Api Developer and a Python Developer is experience level and responsibility. Internships are designed for beginners gaining hands-on experience, while Python Developers are full-time professionals responsible for building and maintaining applications. Internships often serve as a stepping stone toward a full-time Python Developer role.

What does an internship Python API developer do?

An Internship Python API Developer assists in designing, developing, and maintaining application programming interfaces (APIs) using the Python programming language. They typically work under the guidance of senior developers, learning to write clean and efficient code, troubleshoot issues, and test API functionality. Their responsibilities may include working with frameworks like Flask or Django, integrating APIs with databases, and collaborating with other team members to ensure software meets project requirements. This role provides valuable real-world experience in software development and API integration, helping interns build a strong foundation for a future career in programming.

What are the key skills and qualifications needed to thrive as an internship Python API developer, and why are they important?

To thrive as an Internship Python API Developer, you need a solid understanding of Python programming, RESTful API concepts, and basic software development principles, often supported by coursework or personal projects. Familiarity with frameworks like Flask or Django REST, version control systems like Git, and API testing tools such as Postman is typically expected. Strong problem-solving abilities, eagerness to learn, and clear communication help interns stand out in collaborative, fast-paced environments. These skills and qualities are crucial for delivering efficient, maintainable code and integrating effectively within development teams.
What are popular job titles related to Internship Python Api Developer jobs in Jersey City, NJ? For Internship Python Api Developer jobs in Jersey City, NJ, the most frequently searched job titles are:
What job categories do people searching Internship Python Api Developer jobs in Jersey City, NJ look for? The top searched job categories for Internship Python Api Developer jobs in Jersey City, NJ are:
What cities near Jersey City, NJ are hiring for Internship Python Api Developer jobs? Cities near Jersey City, NJ with the most Internship Python Api Developer job openings:

GenAI Developer / Python

Photon

Manhattan, NY • On-site

$55.50 - $76.25/hr

Other

Posted 2 days ago

New


Job description

Role: GenAI Developer / Python
Location: New York (Onsite)
Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.
Technical Stack:
LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.
Key Responsibilities:
Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
Containerize and deploy AI services via Docker to production environments.
Required Qualifications:
7+ years of hands-on experience building and deploying GenAI applications in a production setting.
Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
Experience with vector search, embedding models, and advanced data retrieval patterns.
Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
Familiarity with production-grade monitoring, API security, and CI/CD for ML.