AI Software Engineer Location: US - Remote Job Type: Fulltime Project Overview As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing ...
AI Software Engineer Location: US - Remote Job Type: Fulltime Project Overview As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing ...
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AI Software Engineer 1 Annapolis Junction, MD Clearance Unspecified Full Scope Polygraph Early Career (2+ yrs experience) $130,000 - $155,000 Minimum of 3 years of experience and a BS degree. Skills ...
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AI Foundry is looking for software engineers who build fast, think architecturally, and use AI as a real part of their development workflow. You can write production-quality code, compose AI-native ...
Quick apply
AI Software Engineer
$200K - $325K/yr
AI Foundry is looking for software engineers who build fast, think architecturally, and use AI as a real part of their development workflow. You can write production-quality code, compose AI-native ...
Ai Software Engineer information
See salary details
$63.5K - $76.4K
2% of jobs
$76.4K - $89.3K
4% of jobs
$89.3K - $102.2K
6% of jobs
$102.2K - $115.1K
8% of jobs
$122.1K is the 25th percentile. Wages below this are outliers.
$115.1K - $128K
7% of jobs
$128K - $141K
18% of jobs
The median wage is $144K / yr.
$141K - $153.9K
16% of jobs
$153.9K - $166.8K
2% of jobs
$172.1K is the 75th percentile. Wages above this are outliers.
$166.8K - $179.7K
26% of jobs
$179.7K - $192.6K
1% of jobs
$192.6K - $205.5K
8% of jobs
$63.5K
$147.5K
$205.5K
How much do ai software engineer jobs pay per year?
What are the typical day-to-day responsibilities of an AI Software Engineer?
AI Software Engineers typically spend their days designing, building, and optimizing machine learning models, writing code to support AI system integration, and analyzing large data sets for training algorithms. They frequently collaborate with data scientists, product managers, and other software engineers to align technical solutions with business goals. Regular responsibilities also include reviewing code, troubleshooting model performance, and staying up-to-date on the latest research in artificial intelligence. This role often involves a mix of independent technical work and team-based project collaboration, providing variety and opportunities for skill growth.
What are the key skills and qualifications needed to thrive in the Ai Software Engineer position, and why are they important?
To thrive as an AI Software Engineer, you need a strong background in computer science, mathematics, and machine learning principles, often backed by a relevant degree and experience with programming languages like Python or C++. Familiarity with frameworks such as TensorFlow or PyTorch, and experience deploying models in cloud environments or obtaining certifications in AI/ML, are highly valued. Strong problem-solving abilities, communication, and teamwork are important soft skills to bridge technical gaps and collaborate effectively. These skills and qualities enable the design, development, and deployment of effective AI solutions in dynamic, results-driven environments.
What does an AI Software Engineer do?
An AI Software Engineer designs, develops, and maintains software applications that incorporate artificial intelligence and machine learning technologies. They work with algorithms, data models, and programming languages such as Python, TensorFlow, and PyTorch to build intelligent systems. Their responsibilities include data preprocessing, model training, optimization, and deployment. Additionally, they collaborate with data scientists and software engineers to integrate AI solutions into real-world applications.

Full-time
Posted 27 days ago
Job description
We are seeking an AI software engineering specialist with strong LLM experience with one of our clients.
Job Title: AI Software Engineer
Location: US - Remote
Job Type: Fulltime
Job Description:
Project Overview
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
Roles & Responsibilites:
- Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Collaborate withcross-functionalteamsto enhance AI-drivencoding solutionsagainstindustryperformance benchmarks.
- Build agents that can verify the quality of the code and identify error patterns.
- Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them
- Design verification mechanisms that can automatically verify a solution to a software engineering task.
Required Skills
- Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company.
- Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
- Excellent oral and written communication skills for clear, structured evaluation rationales.