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Python Developer Contract Jobs in Los Angeles, CA

Contract to Hire Opportunities * Must be a US Citizen or Green Card Holder * Onsite position ... Use Python for automation, data processing, or integration tasks * Support data pipelines and cloud ...

This posting is for a contract assignment and is not a full-time employment offer with Boeing ... Python Scripting Experience working with Government customers Active CompTIA Security ...

This posting is for a contract assignment and is not a full-time employment offer with Boeing ... Python, and PERL Experience writing and implementing Infrastructure as Code (IaC) with Bicep, ARM ...

... Months (Contract, potential for extension) Visa Status: H-1B, or Job Summary We are seeking a ... concepts, Python/R a plus) * Demonstrated stakeholder management experience - ability to engage ...

Full Stack Application Developer Hybrid (8-Month Contract) Responsibilities: * Design and build ... Must Have: * 5+ years experience in Java, Python, JavaScript/TypeScript , or Node.js * 5+ years ...

... Contract, potential for extension) Visa Status: H-1B, GC, or USC accepted Job Summary We are ... Python/R a plus) * Demonstrated stakeholder management experience -- ability to engage directly ...

Showing results 21-40

Python Developer Contract information

See Los Angeles, CA salary details

$14

$63

$92

How much do python developer contract jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python developer contract in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 per hour, depending on experience, location, and employer.

What is a python developer contract?

A Python Developer Contract is a temporary work agreement where a developer is hired specifically to work on projects or tasks that require expertise in the Python programming language. Contract roles typically have a set duration and may be project-based, allowing businesses to scale their development teams flexibly. Contractors are usually responsible for writing code, debugging, and deploying Python applications, and may work independently or as part of a larger team. This arrangement benefits both employers seeking specialized skills for a limited time and developers looking for varied project experiences.

What are some common challenges faced by python developers working on contract, and how can they be addressed?

Python developers working on contract often encounter challenges such as integrating with existing codebases, rapidly understanding project requirements, and adapting to varying team workflows. To address these, contractors should prioritize clear communication with project stakeholders, actively seek documentation, and utilize version control systems like Git. Being proactive in asking questions and participating in team meetings can help contractors quickly align with project goals and deliverables, ensuring smooth collaboration and successful project outcomes.

What are the key skills and qualifications needed to thrive as a python developer contract, and why are they important?

To thrive as a Python Developer on contract, you need strong skills in Python programming, software development best practices, and often a relevant degree or proven project experience. Familiarity with version control systems like Git, frameworks such as Django or Flask, and knowledge of cloud platforms or CI/CD tools are typically required. Effective communication, time management, and adaptability are crucial for collaborating remotely and meeting project deadlines. These skills ensure high-quality, efficient code delivery and seamless integration with project teams in dynamic contract environments.

What is the difference between Python Developer Contract vs Python Developer Full-Time?

AspectPython Developer ContractPython Developer Full-Time
CredentialsTypically requires proficiency in Python, relevant certifications optionalSame as contract, often with additional experience or certifications preferred
Work EnvironmentProject-based, flexible hours, remote or onsitePermanent employment, regular hours, often onsite or hybrid
Employer & Industry UsageUsed across startups, agencies, and tech firms for specific projectsCommon in established companies, tech firms, and enterprises
Search & Comparison IntentOften searched for project-based roles, freelance opportunitiesTypically searched for stable, long-term employment

In summary, Python Developer Contract roles focus on short-term, project-specific work with flexible arrangements, while Python Developer Full-Time positions offer stability, benefits, and long-term employment within organizations.

What are the most commonly searched types of Python Developer jobs in Los Angeles, CA?

The most popular types of Python Developer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Python Developer Contract jobs?

Cities near Los Angeles, CA with the most Python Developer Contract job openings:

Infographic showing various Python Developer Contract job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $131,384 per year, or $63.2 per hour.

Principal AI Engineer - Agentic AI / Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS

Central Business Solutions, Inc

Irvine, CA • On-site

$180 - $230/hr

Other

Posted 13 days ago


Job description

Principal AI Engineer – Agentic AI / Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS
  • Irvine, CA

Job Title: Principal AI Engineer – Agentic AI / Generative AI

Location: Irvine, CA (Onsite Preferred / Hybrid)

Employment Type: Contract to Hire

About the Role

We are seeking a Principal AI Engineer to lead the design and development of next-generation Agentic AI solutions for enterprise applications. This role requires a highly experienced AI engineer with deep expertise in Large Language Models (LLMs), AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.

You will drive the architecture, development, deployment, and optimization of intelligent AI agents that automate complex business workflows, power enterprise copilots, and integrate seamlessly with enterprise platforms.

Key Responsibilities AI Agent Development
  • Design, develop, and deploy AI Agents and Multi-Agent Systems for enterprise applications.
  • Build intelligent AI copilots capable of reasoning, planning, and executing complex business workflows.
  • Develop agent orchestration frameworks using modern AI technologies.
  • Implement memory, planning, tool usage, and autonomous decision-making capabilities.
Generative AI Engineering
  • Design production-grade Generative AI applications using Large Language Models.
  • Build Retrieval-Augmented Generation (RAG) solutions using enterprise data.
  • Develop prompt engineering strategies and context management pipelines.
  • Fine-tune and optimize LLM-powered applications for enterprise use cases.
AI Architecture
  • Architect scalable AI platforms supporting multiple enterprise applications.
  • Design AI microservices and API-driven architectures.
  • Build AI workflows integrating structured and unstructured enterprise data.
  • Ensure high availability, scalability, security, and observability of AI systems.
Cloud & MLOps
  • Deploy AI applications on AWS using cloud-native services.
  • Build containerized AI applications using Docker and Kubernetes.
  • Develop CI/CD pipelines for AI model deployment.
  • Monitor model performance, drift, latency, and reliability.
Enterprise Integration
  • Integrate AI Agents with enterprise applications including CRM, ERP, ITSM, and internal APIs.
  • Build AI-powered workflow automation solutions.
  • Collaborate with product, engineering, and business teams to deliver enterprise AI capabilities.
Technical Leadership
  • Provide technical leadership across AI initiatives.
  • Mentor engineers on AI architecture and best practices.
  • Conduct design reviews, code reviews, and architecture reviews.
  • Evaluate emerging AI technologies and recommend adoption strategies.
Required Qualifications
  • Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field.
  • 12+ years of software engineering experience.
  • 5+ years building AI/ML applications.
  • Strong hands-on experience developing AI Agents and Agentic AI solutions.
  • Experience building production-grade Generative AI applications.
  • Strong Python programming expertise.
  • Experience deploying AI applications in AWS.
  • Excellent architecture and system design skills.
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