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Artificial Intelligence Software Developer Jobs (NOW HIRING)

Credence

Entry-Level AI Software Engineer

Mclean, VA

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$100 - $125/hr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Worky

Entry-Level AI Software Engineer

Mclean, VA · On-site

$100 - $125/hr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

New

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

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Artificial Intelligence Software Developer information

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$48K

$111.8K

$166K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence software developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

What cities are hiring for Artificial Intelligence Software Developer jobs?

Cities with the most Artificial Intelligence Software Developer job openings:

What states have the most Artificial Intelligence Software Developer jobs?

States with the most job openings for Artificial Intelligence Software Developer jobs include:

What are popular job titles related to Artificial Intelligence Software Developer jobs?

For Artificial Intelligence Software Developer jobs, the most frequently searched job titles are:

Artificial Intelligence Software Developer jobs near you
Infographic showing various Artificial Intelligence Software Developer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

Artificial Intelligence & Cloud Engineer

Norfolk, VA

Vets Hired
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Vets Hiredexternal

$54 - $72/hr

Full-time

Posted 8 days ago

Job description

Job Summary

The Artificial Intelligence & Cloud Engineer designs, builds, secures, and scales AI-powered systems within cloud environments. The role combines artificial intelligence, machine learning, cloud engineering, software development, retrieval systems, multi-agent architectures, vector databases, and secure AI deployment. The engineer will develop production-grade AI applications and microservices while collaborating with data scientists, designers, and subject matter experts in an Agile environment.

Key Responsibilities
  • Architect and implement scalable multi-agent AI systems.
  • Develop advanced routing and hierarchical multi-agent architectures.
  • Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines.
  • Develop semantic search and information retrieval systems.
  • Design data preprocessing workflows, chunking strategies, and vector database infrastructure.
  • Deploy, secure, monitor, and maintain AI applications and microservices in cloud environments.
  • Integrate AI capabilities into user-facing products.
  • Collaborate with data scientists, UI/UX designers, and subject matter experts.
  • Establish security best practices for large language model implementations.
  • Protect sensitive information through secure data handling and privacy controls.
  • Implement AI model guardrails and other AI security measures.
  • Develop robust RESTful APIs supporting AI and cloud applications.
  • Support Linux-based development and cloud environments.
  • Apply text analytics, prompt engineering, data normalization, and data-cleaning techniques.
  • Support cybersecurity risk management and system hardening activities.
  • Evaluate and adopt emerging AI technologies and engineering practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 7+ years of professional software engineering experience.
  • At least 2 years of production experience in AI, ML, or NLP development.
  • Experience building multi-agent systems using LangGraph, AutoGen, or equivalent frameworks.
  • Strong understanding of RAG architecture, vector databases, embeddings, and information retrieval.
  • Strong programming skills in Python or a similar programming language.
  • Experience developing RESTful APIs.
  • Hands-on experience deploying and managing AWS or OCI cloud services.
  • Proficiency with Linux operating systems and command-line interfaces.
  • Expertise in text analytics and prompt engineering.
  • Experience with data normalization and cleaning.
  • Active Secret security clearance.
  • Current CompTIA Security+ certification or higher.
  • Knowledge of AI security practices, model guardrails, and secure data handling.
  • Experience working in Agile and cross-functional development environments.
  • Strong problem-solving skills and ability to learn emerging AI technologies quickly.
Preferred Qualifications
  • Experience with NAVSEA Cyber RMF processes and system security hardening.
  • Familiarity with Rust, Go, or JavaScript.
  • Industry-recognized cloud certifications, such as AWS Certified Machine Learning – Specialty or OCI AI credentials.
  • Experience with open-source LLM evaluation and observability frameworks.