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Temporary Ai Software Engineer Jobs (NOW HIRING)

ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who ...

ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who ...

ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who ...

ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who ...

AI Software Engineer

Lake Forest, CA · Hybrid

$103K - $172K/yr

AI Software Engineer Location: Lake Forest, United States of America(Hybrid) Employment type: Full-time The job We are looking for passionate and seasoned AI Software Engineers to join our Core AI ...

They are seeking an AI Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams. Responsibilities : • ...

AI Software Engineer

Lake Forest, CA · On-site

$103K - $172K/yr

AI Software Engineer Location: Lake Forest, United States of America (Hybrid) Employment type: Full-time The job We are looking for passionate and seasoned AI Software Engineers to join our Core AI ...

They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle in collaboration with cross-functional teams. Responsibilities : • ...

They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle in collaboration with cross-functional teams. Responsibilities : • ...

They are seeking an AI Software Engineer to lead the development of AI-driven features, design scalable data structures, and collaborate with cross-functional teams to enhance platform capabilities.

They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams. Responsibilities : • ...

They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle in collaboration with cross-functional teams. Responsibilities : • ...

They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle in collaboration with cross-functional teams. Responsibilities : • ...

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Temporary Ai Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do temporary ai software engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for temporary ai software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a temporary AI software engineer?

A Temporary AI Software Engineer is a professional hired on a short-term or contract basis to develop, implement, and optimize artificial intelligence solutions. Their work often includes building machine learning models, writing code, and collaborating with data scientists or other engineers. Temporary roles typically address project-specific needs or fill in for permanent staff. These engineers must be proficient in programming languages like Python, understand AI frameworks, and adapt quickly to new teams and projects. The duration of their employment can range from a few weeks to several months, depending on the employer's requirements.

What are the key skills and qualifications needed to thrive as a temporary AI software engineer?

To thrive as a Temporary AI Software Engineer, you need strong programming skills in languages like Python or Java, a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with cloud platforms, and knowledge of version control systems like Git are often required. Analytical thinking, adaptability, and effective communication are crucial soft skills for quickly integrating with teams and delivering results on short-term projects. These capabilities enable rapid onboarding, effective problem-solving, and successful delivery of AI solutions within limited timeframes.

What are some typical challenges faced by temporary AI software engineers during short-term assignments?

Temporary AI Software Engineers often encounter the challenge of quickly adapting to new codebases, tools, and team workflows. Since assignments are short-term, there's usually limited time for onboarding, so being able to understand project requirements and deliver results efficiently is crucial. Collaboration with permanent team members is key, as they can provide valuable context and guidance. Effective communication and strong problem-solving skills help ensure successful project contributions within tight timelines.
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Infographic showing various Temporary Ai Software Engineer job openings in the United States as of September 2026, with employment types broken down into 61% Full Time, 13% Part Time, 13% Temporary, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

AI Software Engineer

El Segundo, CA • On-site

Full-time

Re-posted 18 hours ago


Job description

Job Summary:
Gallatin is a company focused on improving defense logistics for the United States and allied forces through AI-driven software products. The AI Software Engineer will develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams to deliver impactful applications.
Responsibilities:
• Build and Deploy AI/ML Models
• Own and develop an AI model aligned with our core product needs within the first three months.
• Validate AI-driven product features through real-world testing and feedback from warfighters.
• Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring.
• Own high model reliability and uptime by implementing monitoring across your work.
• Identify and integrate structured, unstructured, real-time, and batch data sources.
• Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality.
• Stay ahead of AI trends and emerging technologies to improve model performance.
• Document and share best practices for AI/ML development.
• Contribute to the hiring and mentoring of AI/ML talent as we grow our team.
• Teach the wider team about the latest trends and significance in novel approaches in AI.
Qualifications:
Required:
• Strong Programming Skills: Expertise in at least one: Python, C++, or C.
• ML Framework Proficiency: Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs.
• MLOps & Data Engineering Knowledge: Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana.
• AI Fundamentals & Security Awareness: Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections).
• Growth Mindset: Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others.
• This position requires the ability to obtain and maintain relevant security clearances. The successful candidate must be able to work in a classified environment when necessary.
Preferred:
• Experience mentoring and upskilling junior engineers.
• Familiarity with legacy systems and working with public sector customers.
• Contributions to open-source (AI/ML) projects.
Company:
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Founded in 2024, the company is headquartered in El Segundo, USA, with a team of 11-50 employees. The company is currently Early Stage.