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Junior Python Engineer Jobs in California (NOW HIRING)

Saransh Inc

Junior Gen AI Engineer

Santa Clara, CA · On-site

Role: Junior GenAI Engineer Location: Santa Clara, CA (Onsite from Day 1) Job Type: Contract ... Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI ...

PayPal

Sr Software Engineer - BE Python

San Jose, CA · On-site

$130.50K - $193.60K/yr

Guides junior engineers * Operates with little day-to-day supervision, making technical decisions ... Experience with backend development using Python and frameworks such as Django or Flask.

Qcells

Junior Software Engineer

Santa Clara, CA

$30 - $50/hr

We are seeking a motivated Junior Software Engineer (Temporary) to join our Grid & Energy Services ... Proficiency in Python, including experience writing scripts, functions, and at least one project of ...

Qcells

Junior Software Engineer

Santa Clara, CA · On-site

$30 - $50/hr

We are seeking a motivated Junior Software Engineer (Temporary) to join our Grid & Energy Services ... Proficiency in Python, including experience writing scripts, functions, and at least one project of ...

VOLT

Junior AI/ML Engineer

San Diego, CA · On-site

$48/hr

As a Junior AI/ML Engineer, you will assist with: * Prototype and deliver generative AI and ML ... Python proficiency with common data tools (Pandas/NumPy) and baseline software engineering ...

Peraton

Junior Cyber Software Engineer

San Diego, CA · On-site

... Python, and JAVA • Experience with Software development tools and practices (e.g., Gitlab, CI/CD) • Solid understanding of data structures, algorithms, and software design patterns. • ...

Cla-Val

Junior Software Developer

Costa Mesa, CA · On-site

$57.34K - $129.02K/yr

Technical Sales Engineer Examples of Duties and Responsibilities: * Design, implement, and maintain ... Develop software applications using various languages such as JavaScript, Python, C++, etc. * Apply ...

Peraton

Junior Cyber Software Engineer

San Diego, CA · On-site

$86K - $138K/yr

Responsibilities Peraton is seeking a Junior Level Cyber Software Engineer to support our Atlantis ... Strong Programming sjkills in C/C++, Golang, Python, and JAVA * Experience with Software ...

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Junior Python Engineer information

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$33.1K

$70.9K

$108.1K

How much do junior python engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for junior python engineer in California is $70,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $79,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Python Engineer, and why are they important?

To thrive as a Junior Python Engineer, you need a solid understanding of Python programming, basic software development principles, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, integrated development environments (IDEs), and common Python libraries such as Flask or Django is typically expected. Strong problem-solving skills, willingness to learn, and effective communication make a candidate stand out in collaborative development teams. These skills are vital for producing reliable code, integrating smoothly into team workflows, and growing quickly in a technical environment.

What are some typical projects or tasks a Junior Python Engineer might work on in their first year?

As a Junior Python Engineer, you can expect to work on a range of foundational tasks such as writing and debugging code, developing scripts for automation, assisting in the maintenance of existing applications, and supporting the implementation of new features under the guidance of senior engineers. You may also participate in code reviews, collaborate with cross-functional teams like QA or DevOps, and handle data manipulation or API integrations. This hands-on experience helps you build confidence and deepen your understanding of industry-standard development practices.

What are Junior Python Engineers?

Junior Python Engineers are entry-level software developers who specialize in using the Python programming language to build, test, and maintain software applications. They typically work under the guidance of more experienced developers, contributing to coding, debugging, and documentation tasks. Junior Python Engineers may also assist in writing scripts, automating processes, and learning best practices in software development as they gain experience. This role is ideal for recent graduates or those with limited professional experience in programming.

What is the difference between Junior Python Engineer vs Junior Data Analyst?

AspectJunior Python EngineerJunior Data Analyst
Required SkillsPython programming, basic data structures, scriptingData visualization, SQL, Excel, basic statistics
CertificationsPython certifications, coding bootcampsData analysis certifications, Excel courses
Work EnvironmentSoftware development teams, tech companiesBusiness intelligence teams, finance, marketing
Industry UsageSoftware, tech, startupsFinance, marketing, consulting

The main difference between a Junior Python Engineer and a Junior Data Analyst lies in their focus areas. Junior Python Engineers primarily develop and maintain software using Python, while Junior Data Analysts analyze data to generate insights. Both roles require some overlapping skills like basic programming, but their tools and end goals differ significantly.

What are the most commonly searched types of Python Engineer jobs in California? The most popular types of Python Engineer jobs in California are:
Junior Python Engineer jobs near you

Junior Gen AI Engineer

Saransh Inc

Santa Clara, CA • On-site

Contractor

Posted 7 days ago

Job description

Role: Junior GenAI Engineer
Location: Santa Clara, CA (Onsite from Day 1)
Job Type: Contract
 
Experience Level: 3–7 Years (Software Development)
 
 
Key Responsibilities:
  • Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
  • Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
  • Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
  • Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
  • Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
  • Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.
  • Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.
  • Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs.
  • Trigger Management: Configure message, data, scheduled, and webhook triggers.
  • Automation Workflow: Design workflows with Power Automate for task automation.
  • Flow Design: Create logical, scalable flows for complex business processes.
  • Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.
 
Required Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
  • 3+ years of experience in AI/ML engineering, with at least 1 year focused on Generative AI.
  • Hands-on experience with RAG architectures, including document chunking, embedding generation, and retrieval systems.
  • Proficiency in Python and familiarity with libraries such as Hugging Face, Transformers, OpenAI API, and PyTorch/TensorFlow.
  • Experience with Agentic AI frameworks (LangGraph, OpenAI SDK, AutoGen, CrewAI) and building agent accelerators using platforms like Copilot Studio or AWS Bedrock AgentsCore
  • Strong understanding of LLM capabilities, limitations, and prompt engineering techniques.
  • Experience with cloud platforms and containerization (Docker, Kubernetes).