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Full Time Ai Coding Jobs (NOW HIRING)

Drive proficiency with the most effective AI coding tools and practices across the engineering ... Data Engineering, Frontend Engineering, Docker, Terraform Benefits available to all full-time Ramp ...

Applied AI Engineer

Palo Alto, CA · On-site

$160K - $200K/yr

Who You Are You are 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 ...

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 ...

Customer Success • Full-time • San Francisco; New York Apply Our mission is to automate coding ... About the role As an AI Deployment Manager (ADM) at Cursor, you'll own the post-sale journey for a ...

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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 Jul 11, 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 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.

Which 3 jobs will survive AI?

Full Time AI Coding roles are likely to persist because they involve designing, developing, and maintaining AI systems that require human oversight, creativity, and complex problem-solving. Jobs that require emotional intelligence, strategic decision-making, and specialized technical skills, such as AI researchers, data scientists, and software engineers, are expected to remain in demand despite AI advancements.

What is the 30% rule for AI?

The 30% rule in AI refers to a guideline suggesting that no more than 30% of a model's features or data should be derived from external sources to prevent overfitting and ensure model robustness. For AI coding roles, understanding data quality and proper feature selection is essential to develop effective models within such constraints.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may require specialized certifications or advanced degrees. Compensation at this level reflects the value of expertise in developing and deploying complex AI systems in competitive industries.

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.

Are AI coders in demand?

AI coders are in high demand due to the growing adoption of artificial intelligence across industries. Skills in machine learning, deep learning, and programming languages like Python are particularly sought after, with job opportunities increasing as companies develop AI-driven solutions.

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 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 cities are hiring for Full Time Ai Coding jobs? Cities with the most Full Time Ai Coding job openings:
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:
Infographic showing various Full Time Ai Coding job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $68,683 per year, or $33 per hour.
Software Engineer, AI DevX

Software Engineer, AI DevX

Ramp

San Francisco, CA • Remote

$207K - $350K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

About the Role

As a Staff Software Engineer on our AI DevX team, you'll architect and own the developer tooling and infrastructure that enables hundreds of engineers to build software faster with AI. You'll act as both a technical owner and a multiplier: shipping platforms that accelerate agent-driven engineering, while shaping best practices that scale across the organization.

You will be expected to take ownership of critical AI DevX systems while also influencing Ramp's broader AI strategy and engineering culture. Our ideal candidate combines deep software engineering expertise with a passion for AI, an obsession with developer productivity, strong collaborative instincts, and proven experience shipping and maintaining tools that developers rely on daily.

What You'll Do
  • Stay at the forefront of the AI development ecosystem. Deeply understand model capabilities, evaluate emerging tools critically, and make informed decisions about when and how to adopt new technologies

  • Drive proficiency with the most effective AI coding tools and practices across the engineering organization

  • Build platforms that help our devs offload more work to AI and empower AI to perform better when doing Ramp dev work

  • Gather developer feedback, identify friction points, and iterate on solutions that improve developer velocity

  • Grow AI vendor partnerships and serve as the advocate for Ramp’s engineers

What You'll Need
  • Typically 8+ years of professional software engineering experience

  • Deep backend engineering expertise spanning infrastructure, services, and data systems

  • Python proficiency; Strong Bash/Unix fundamentals

  • You thrive in your terminal, instinctively crafting reusable tools as you work

  • Obsessed with productivity, automation, and optimization

  • Prior experience working in a fast-paced startup environment

  • Strong AI fluency and AI coding tool proficiency

Nice to Haves
  • Active power user of AI coding agents

  • Proven track record shipping and maintaining developer tools

  • Demonstrated experience building AI-powered systems

  • Experience leading technical teams and owning technical roadmaps

  • Forward-deployed engineering or public speaking/writing experience

  • Background in AI/ML; Able to read and understand AI research papers

  • Expertise in: Data Engineering, Frontend Engineering, Docker, Terraform

Benefits available to all full-time Ramp employees (Global)
  • Flexible PTO

  • Centralized home-office equipment ordering

  • Health and wellness stipend

  • Budget for intra-office travel

  • Weekly coffee stipend

United States
  • 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents

  • One Medical annual membership

  • 401(k), including employer match on contributions made while employed by Ramp

  • Fertility HRA (up to $10,000 per year)

  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay

  • Pet insurance

  • In-office perks: lunch, snacks, drinks, and more

  • Relocation support to NYC or SF (as needed)

Canada
  • Group medical, dental, and vision coverage through Sun Life

  • Life, AD&D, and disability coverage

  • Fertility drug coverage (up to $4,000 lifetime)

  • Group Retirement Plan with employer match (RRSP + DPSP)

  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay

  • Employee Assistance Program and virtual care through Lumino Health

United Kingdom
  • Private medical insurance through Freedom Elite

  • Virtual GP and at-home care via eMed x Livi

  • Workplace pension through Penfold, with salary sacrifice option

  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

 
Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

 

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

 

Ramp Applicant Privacy Notice

Compensation Range: $207.2K - $350.6K