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Seasonal Python Django Backend Developer Jobs in El Cajon, CA

Experience with Python, Snowflake, Github, Azure, and software engineering lifecycle is a plus. Key ... Application Integration: Embed AI models into frontend and backend systems. Performance ...

Foundational programming skills in Python or R for analysis, data manipulation, and ML workflows ... HTML, CSS, JavaScript, React, plus backend exposure to Django or ASP.NET Core. * Experience with ...

Software Engineer

San Diego, CA · On-site

$120 - $160/hr

... front-and-back end features and architecture. * Adhere to government and industry security ... Program languages such as C++, Python, Java or JavaScript * Container concepts (Docker/OCI/Podman ...

New

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ... A highly hands-on engineering role focused on building production-ready AI solutions

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ... A highly hands-on engineering role focused on building production-ready AI solutions

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ... A highly hands-on engineering role focused on building production-ready AI solutions

As a Developer at our company, you will be responsible for both back-end and front-end development ... Knowledge of server-side programming languages ideally including PHP, Python, .NET frameworks

Showing results 41-60

Seasonal Python Django Backend Developer information

See El Cajon, CA salary details

$16.7K

$154.8K

$199.4K

How much do seasonal python django backend developer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for seasonal python django backend developer in El Cajon, CA is $154,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $174,900.00 per year, depending on experience, location, and employer.

What job categories do people searching Seasonal Python Django Backend Developer jobs in El Cajon, CA look for?

The top searched job categories for Seasonal Python Django Backend Developer jobs in El Cajon, CA are:

What cities near El Cajon, CA are hiring for Seasonal Python Django Backend Developer jobs?

Cities near El Cajon, CA with the most Seasonal Python Django Backend Developer job openings:

Infographic showing various Seasonal Python Django Backend Developer job openings in El Cajon, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $154,756 per year, or $74.4 per hour.

Full-time

Posted 29 days ago


Job description

We are seeking an AI Engineer to join our Data and AI team. This role combines expertise in machine learning and software engineering to deliver cutting-edge AI solutions. You will own the end-to-end machine learning lifecycle, integrate models into applications, and ensure optimal performance in production environments.
You will join a team supporting the company's operations. This role will be crucial in the planning and execution of projects and driving customer satisfaction through delivering Data and AI solutions. As an AI Engineer you will be responsible for understanding, planning, and communicating technical opportunities and limitations to the team, working with both DnA team members and customers to satisfy customer needs.

To be successful in this role you must be able to communicate with a wide variety of individuals with varying levels of technical experience. You must be organized, have strong time management and planning abilities. Experience with Python, Snowflake, Github, Azure, and software engineering lifecycle is a plus.

Key Responsibilities
End-to-End Lifecycle: Prepare, select models, train, and evaluate performance.
Application Integration: Embed AI models into frontend and backend systems.
Performance Optimization: Reduce latency and cost, keeping accuracy and reliability.
Deployment & Observability: Collaborate with Technical Lead to ensure robust deployment and monitoring of AI solutions.

Required Skills & Qualifications
Strong foundation in machine learning fundamentals and software engineering principles.
Proficiency in Python, cloud services (AWS, Azure, or GCP), and application frameworks.
Ability to design, implement, and evaluate models for real-world business use cases.
Experience with APIs, microservices, and system integration.
Bachelor's degree in computer science, math, statistics, or similar


Preferred Qualifications
Experience with MLOps practices for scalable deployment
Experience in government or defense projects with security compliance.
Knowledge of observability tools and performance monitoring.
Extensive knowledge of Snowflake, Python, Azure, Github.

Soft Skills
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Customer service focused and consulting ability.
Ability to thrive in a fast-paced, mission-driven environment.

Salary: 80k+ dependent on education and experience