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Ai Ml Software Engineer Jobs (NOW HIRING)

Frontier Technology Inc.

Overview FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation ...

Raft

Lead AI/ML Software Engineer

Honolulu, HI · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft's AI Mission System. You ...

Raft

Lead AI/ML Software Engineer

Colorado Springs, CO · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft's AI Mission System. You ...

Raft

Lead AI/ML Software Engineer

Boston, MA

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft's AI Mission System. You ...

Peraton

AI/ML Software Engineer

Herndon, VA · On-site

$135K - $216K/yr

AI/ML Software Engineer Job Locations US-MD-Annapolis Junction | US-VA-Herndon | US-VA-Reston Requisition ID 2026-166086 Position Category Information Technology Clearance No Clearance Required ...

Peraton

$135K - $216K/yr

AI/ML Software Engineer Peraton Labs is seeking an AI/ML Software Engineer to join the Labs Agentic AI team, you'll design, build, and ship AI-powered systems for a compliance-ready, low-code ...

Raft

Lead AI/ML Software Engineer

Mclean, VA

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft's AI Mission System. You ...

Peraton

AI/ML Software Engineer

Reston, VA

$135K - $216K/yr

AI/ML Software Engineer Job Locations US-MD-Annapolis Junction | US-VA-Herndon | US-VA-Reston Requisition ID 2026-166086 Position Category Information Technology Clearance No Clearance Required ...

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Ai Ml Software Engineer information

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

As of Jun 12, 2026, the average yearly pay for ai ml 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.

Is there any AI for free?

As an AI/ML Software Engineer, you can access many free AI tools and frameworks such as TensorFlow, PyTorch, and scikit-learn for developing machine learning models. Additionally, cloud providers like Google Cloud, AWS, and Microsoft Azure offer free tiers with limited access to AI services for experimentation and learning.

What are some common challenges AI/ML Software Engineers face when deploying machine learning models to production?

AI/ML Software Engineers often encounter challenges such as ensuring model scalability, managing data pipelines, and maintaining model performance over time. Transitioning from prototype to production requires close collaboration with DevOps and data engineering teams to integrate models into existing systems. Additionally, monitoring models for drift and retraining them with new data is crucial to ensure they continue delivering accurate results. Addressing these challenges effectively requires solid software engineering practices and a proactive approach to cross-functional teamwork.

What 3 jobs will not be replaced by AI?

Ai ML Software Engineers are less likely to be replaced by AI because their roles require complex problem-solving, creativity, and understanding of human context that AI cannot fully replicate. Jobs involving advanced critical thinking, emotional intelligence, and hands-on craftsmanship, such as healthcare providers, skilled tradespeople, and creative professionals, are also less susceptible to automation. These roles often require human judgment, adaptability, and interpersonal skills that AI tools currently cannot replace effectively.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI/ML executives, research directors, or specialized engineers with extensive experience, advanced skills in machine learning, deep learning, and data science, often working in leading tech companies or finance firms. These positions usually require advanced degrees, certifications, and a strong track record of innovation or leadership in AI projects.

What are the key skills and qualifications needed to thrive as an AI/ML Software Engineer, and why are they important?

To thrive as an AI/ML Software Engineer, you need a strong foundation in computer science, mathematics (especially statistics and linear algebra), and proficiency in programming languages such as Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and familiarity with data management tools or certifications in AI/ML are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and explaining technical concepts. These skills and qualities are vital to successfully design, develop, and deploy intelligent systems that solve real-world problems.

What is the difference between Ai Ml Software Engineer vs Data Scientist?

AspectAi Ml Software EngineerData Scientist
Required SkillsProgramming, machine learning, software developmentStatistics, data analysis, programming
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsMachine Learning certifications, programming coursesData Science certifications, statistical courses
Industry UsageAI product development, software solutionsData analysis, predictive modeling

While both roles involve working with data and machine learning, Ai Ml Software Engineers focus on developing and deploying AI applications and software, whereas Data Scientists primarily analyze data to extract insights and build models. The roles often overlap but differ in their core focus and daily tasks.

What are AI/ML Software Engineers?

AI/ML Software Engineers are professionals who design, develop, and implement artificial intelligence (AI) and machine learning (ML) models and systems. They work with large datasets, build algorithms, and use programming languages such as Python or Java to create intelligent applications. Their responsibilities often include data preprocessing, model training, evaluation, and deployment. AI/ML Software Engineers collaborate with data scientists and other engineers to integrate machine learning capabilities into software products. They are essential in fields like healthcare, finance, and technology, where AI-driven solutions are increasingly important.

Did Elon Musk create a new AI?

Elon Musk has been involved in the development of AI through his companies, notably co-founding OpenAI, which develops advanced AI models. However, he has not personally created a new AI; instead, he contributes to AI research and development efforts as an industry leader. As an AI/ML Software Engineer, understanding the collaborative nature of AI projects and Musk's role in AI initiatives can be valuable.
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Ai Ml Software Engineer jobs near you
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

Posted 10 days ago

Job description

Overview

FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.

Responsibilities

Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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Employment Type: FULL_TIME

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