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Full Time Ai Coding Jobs (NOW HIRING)

Propark Mobility

AI Automation Specialist

Hartford, CT · Hybrid

$70K - $80K/yr

Hybrid Schedule: Full-time, Monday - Friday Location: Hartford, CT Snapshot * The company: Propark ... Claude Code, Cursor, and Codex. * Design and ship custom agents for specific jobs: retrieval over ...

Nomic.ai

Senior Software Engineer

New York, NY · On-site

$134K - $176K/yr

New York, NY (Hybrid) | Type: Full-Time | Reports to: Head of Revenue About Nomic Nomic builds AI ... Most of your day-to-day coding will involve directing and managing AI coding agents. We're not ...

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO · On-site

$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 ...

Provn

AI Engineer

Bellevue, WA · On-site

$100K - $200K/yr

AI Engineer Golden Analytics Bellevue, WA Onsite Full-time - analytics/jobs/0f3f7020 -edf6-49d5 ... Experience building software using AI (coding agents). * Product thinking and customer orientation ...

New

Fanatics Inc.

AI Engineer

New York, NY

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 ...

Citigroup, Inc.

Lead AI Engineer

Irving, TX · On-site

$156K - $234K/yr

Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity ... Applications Development Time Type: Full time Primary Location: Irving Texas United States Primary ...

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Full Time Ai Coding information

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$13

$33

$54

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

As of Aug 21, 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:

Full Time Ai Coding jobs near you
Infographic showing various Full Time Ai Coding job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $68,683 per year, or $33 per hour.

Junior AI Software Engineer (Austin, TX)

Texas Sports Academy Main

Austin, TX • On-site

Full-time

Posted 18 days ago

Job description

As a Junior Software Engineer with Texas Sports Academy, you'll help build the software that runs our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.

What You Will Be Doing
  • Building and shipping product features across the full stack every week, with AI coding tools running alongside you.
  • Contributing to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them.
  • Working directly with the founders and senior engineers on scope and trade-offs, no PM layer in between.
  • Picking up ownership of smaller systems end-to-end and growing into bigger ones.
  • Running your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and getting sharper at it every week.
  • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.
What You Will NOT Be Doing
  • Pretending AI is optional. If you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you.
  • Sitting in status meetings all day. Few meetings, more shipping.
  • Working on a narrow slice of a giant codebase.
  • Waiting around for tickets. You'll be in the room when we decide what to build.
Key Responsibilities
  • Ship production code and AI features that real students, parents, and staff rely on every day.
  • Own smaller systems and features end-to-end as you ramp up.
  • Move fast. Features go from idea to production in days, not quarters, without breaking things.
  • Level up your AI-engineering chops alongside a senior team.

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
  • Based in Austin, TX (or within commuting distance).
  • 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count.
  • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
  • Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
  • Excellent written English.
Nice to Have
  • At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
  • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
  • Public GitHub or a personal AI project we can actually try.
  • A personal project you built because you wanted to.
  • Background in education, edtech, or sports.