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Full Time Ai Coding Jobs (NOW HIRING)

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO

$91K - $125K/yr

POSITION SUMMARY McCarthy is seeking a full-time AI Engineer II who will be part of the Engineering ... Leverage AI-assisted development tools and coding copilots to accelerate delivery while maintaining ...

Fanatics Inc.

AI Engineer

New York, NY · On-site

We're looking for a full-time AI Engineer to help shape and execute Fanatics' AI strategy across ... Comfort working in code (Python preferred) and a willingness to learn whatever the right tool for ...

Fluency

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We're hiring a full-time AI Engineer to own the prompts, agents, evals, and pipelines behind user ... Solid software engineering fundamentals: you can write production code, not just notebooks Nice to ...

Kharon

AI Engineer

Denver, CO · On-site

$130K - $170K/yr

DR Kharon is seeking a full-time AI Engineer based in Denver. This role requires in-office ... Take features from idea to production, including architecting data flows, writing high-quality code ...

Quantifind

AI Forward Deployed Engineer

Palo Alto, CA

$160K - $200K/yr

You're also an engineer who codes with AI as a first-class tool, not an add-on. You pair ... A fun environment where work-life balance is valued The base salary range for this full-time ...

Quantifind

AI Forward Deployed Engineer

Palo Alto, CA · On-site

$160K - $200K/yr

You're also an engineer who codes with AI as a first-class tool, not an add-on. You pair ... A fun environment where work-life balance is valued The base salary range for this full-time ...

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Full Time Ai Coding information

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How much do full time ai coding jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for full time ai coding in the United States is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $39.90 per hour, depending on experience, location, and employer.

What is a full time AI coding job?

A Full Time AI Coding job typically involves working as a software engineer or developer focused on creating, implementing, and maintaining artificial intelligence models and systems. Professionals in this role use programming languages like Python, R, or Java to build algorithms, train models, and deploy AI solutions for various industries. Responsibilities may include data preprocessing, model evaluation, and optimizing code for performance. These positions often require strong analytical skills, experience with machine learning frameworks, and collaboration with cross-functional teams. Full-time roles generally offer stable employment with benefits and the opportunity to work on advanced technology projects.

What are the key skills and qualifications needed to thrive as a full time AI coding professional, and why are they important?

To thrive as a Full Time AI Coding professional, you need strong programming skills (especially in Python), a solid grasp of machine learning concepts, and a relevant degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and knowledge of version control systems like Git are typically required. Critical thinking, problem-solving ability, and effective teamwork are vital soft skills that distinguish top performers. These skills and qualities are essential for building robust AI solutions, collaborating on complex projects, and driving innovation in a rapidly evolving field.

What are the main challenges faced by professionals in full time AI coding roles, and how can they be addressed?

One of the main challenges in full-time AI coding roles is keeping up with the rapid evolution of AI frameworks and tools. Professionals often encounter complex problem-solving scenarios that require a solid understanding of both machine learning theory and practical coding skills. Collaboration is also essential, as AI projects are typically team-driven and involve working closely with data scientists, product managers, and software engineers. To address these challenges, continuous learning, clear communication, and proactive participation in code reviews and team meetings are crucial for success.

What is the difference between Full Time Ai Coding vs Data Scientist?

AspectFull Time Ai CodingData Scientist
Required CredentialsBachelor's in CS, AI, or related; coding certificationsBachelor's/Master's in CS, Statistics, or related; data analysis certifications
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, consulting
Employer & Industry UsagePrimarily in AI development teamsAcross industries for data analysis and insights
Common Search & ComparisonYesYes

Full Time Ai Coding focuses on developing AI algorithms and software, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical tools. While both roles involve data and programming, Ai Coders specialize in building AI models, whereas Data Scientists focus on interpreting data for decision-making.

What are the most commonly searched types of Ai Coding jobs?

The most popular types of Ai Coding jobs are:

What states have the most Full Time Ai Coding jobs?

States with the most job openings for Full Time Ai Coding jobs include:

What job categories do people searching Full Time Ai Coding jobs look for?

The top searched job categories for Full Time Ai Coding jobs are:

What other helpful pages are available for Full Time Ai Coding?

Other pages related to Full Time Ai Coding:

Full Time Ai Coding jobs near you
Infographic showing various Full Time Ai Coding job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $68,683 per year, or $33 per hour.

AI Engineer II

Saint Louis, MO

McCarthy Holdings, Inc.
See more jobs at McCarthy Holdings, Inc.external

$91K - $125K/yr

Full-time

Re-posted 18 hours ago

Job description

POSITION SUMMARY

McCarthy is seeking a full-time AI Engineer II who will be part of the Engineering and Intelligence team. In this role, you will design, build, and support AI-powered applications and workflows that help drive business value across the enterprise.

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will contribute to the development of production-grade AI solutions, including generative AI, agentic workflows, advanced analytics, and enterprise integrations. This is a hands-on engineering role focused on implementation, experimentation, deployment, and continuous improvement of AI capabilities.

The ideal candidate combines strong software engineering fundamentals with experience in AI and data-driven applications. Experience working within Palantir Foundry, including ontology-driven development, data products, operational workflows, and AI-enabled solutions, is strongly preferred.

RESPONSIBILITES

  • Design, develop, test, and maintain AI-powered applications, services, and workflows that support enterprise business processes.
  • Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks.
  • Develop and maintain data pipelines, integrations, and reusable data products that enable AI and analytics use cases.
  • Contribute to the design and evolution of data models and ontologies that support operational and analytical workflows.
  • Develop and optimize prompts, retrieval strategies, and agent workflows to improve solution effectiveness, reliability, and user experience.
  • Leverage AI-assisted development tools and coding copilots to accelerate delivery while maintaining high standards for code quality, testing, security, and maintainability.
  • Participate in MLOps and PromptOps processes, including deployment, monitoring, evaluation, versioning, and continuous improvement of AI systems.
  • Collaborate with business and technical stakeholders to translate business requirements into practical technical solutions.
  • Support production AI solutions through troubleshooting, performance tuning, monitoring, and ongoing enhancement activities.
  • Contribute to documentation, reusable patterns, and engineering best practices that improve team effectiveness and solution consistency.
  • Follow established AI governance, security, and Responsible AI standards throughout the solution lifecycle.

    QUALIFICATIONS

    • Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline.
    • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field (or equivalent practical experience).
    • Experience building and deploying AI-enabled applications or machine learning solutions in production environments.
    • Strong programming skills in Python and experience with modern software engineering practices.
    • Data pipelines, ETL/ELT processes, and API-based integrations
    • SQL and relational data modeling
    • Cloud platforms such as Azure, AWS, or GCP
    • Containerized and serverless application deployment patterns
    • Building solutions on enterprise AI and data platforms such as Palantir Foundry, Azure AI, AWS, GCP, or Dataiku.
    • Generative AI platforms and frameworks such as OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar technologies.
    • Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns.
    • Experience with Palantir Foundry is strongly preferred, including familiarity with:
      • Ontology-driven application development
      • AIP and AI-enabled workflows
      • Data products and pipeline development
      • Workshop applications and operational workflows
      • Code Repositories and software delivery within Foundry environments
      • Understanding of responsible AI concepts, including transparency, human oversight, security, and governance practices.

      CHARACTERISTICS

      • Strong problem-solving and analytical skills with the ability to work through ambiguity and deliver practical solutions.
      • Effective communication skills and the ability to collaborate with technical and non-technical stakeholders.
      • Curiosity and enthusiasm for emerging AI technologies and software engineering practices.
      • Strong attention to quality, maintainability, and user experience.
      • Ability to learn new technologies quickly and apply them effectively in a business environment.
      • High degree of accountability, ownership, and commitment to delivering results.


      McCarthy is proud to be an equal opportunity employer, including disability and protected veteran status.
      NOTICE TO EXTERNAL SEARCH FIRMS: McCarthy’s Talent Acquisition Team is the only authorized representative permitted to engage with external search firms, staffing agencies, or other third-party recruiting partners. McCarthy maintains an Approved Agency List for recruiting partners, which is reviewed and updated annually.
      McCarthy will only consider submissions from agencies with a signed fee agreement in place for the current year. McCarthy does not accept unsolicited resumes, candidate submissions, or referrals from agencies that do not meet these requirements.
      If a candidate is submitted without an active agreement, McCarthy will have no obligation to pay any fees and reserves the right to contact, engage, interview, or hire such candidate(s) without any financial or other responsibility to the submitting agency. Unsolicited resumes, including those sent directly to hiring managers or other employees, will be considered the property of McCarthy.