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Ai Coder Jobs (NOW HIRING)

Rapid Eagle Inc

AI Engineer

Minneapolis, MN · On-site

$60 - $70/hr

Snowflake as the data platform (medallion architecture: bronze/silver/gold) • Tools and AI coding assistants: o Claude Code o GitHub Copilot via Visual Studio o Evaluating vendor AI tools (e.g ...

Carlyle

AI Platform Engineer

Washington, DC · On-site

You will spend your time writing code, building agentic frameworks, integrating AI coding assistants into the SDLC, and creating the platforms, registries, and abstractions that make AI-driven ...

Ramp

Software Engineer, AI DevX

Manhattan, NY · On-site

... 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 ...

RAPID EAGLE INC

AI Engineer

Minneapolis, MN · On-site

$60 - $70/hr

Snowflake as the data platform (medallion architecture: bronze/silver/gold) Tools and AI coding assistants: o Claude Code o GitHub Copilot via Visual Studio o Evaluating vendor AI tools (e.g ...

Leidos

AI Engineer

San Diego, CA · On-site

Integrate AI into engineering workflows for requirements analysis, code generation, testing, vulnerability scanning, and release processes. * Configure AI agents , plugins, and automation frameworks ...

Jeppesen ForeFlight

Principal AI Engineer

Responsibilities : • Define and lead the company-wide strategy for agentic coding and AI engineering enablement • Evaluate, prototype, and operationalize AI coding agents and AI-native developer ...

Futran Tech Solutions Pvt. Ltd.

AI Engineer

Remote We are seeking a highly skilled Developer with strong expertise in Artificial Intelligence (AI) coding, particularly in Large Language Models (LLM) and Retrieval-Augmented Generation (RAG ...

Leidos

AI Engineer

San Diego, CA · On-site

Integrate AI into engineering workflows for requirements analysis, code generation, testing, vulnerability scanning, and release processes. * Configure AI agents , plugins, and automation frameworks ...

Crunchyroll, LLC

Senior AI Engineer

Dallas, TX · Hybrid

$103K - $142K/yr

You will build production software, direct AI coding agents, review AI-generated work, improve delivery practices, and help turn what works into reusable patterns for future Enterprise Technology ...

Artos AI

Applied AI Engineer

San Francisco, CA · On-site

... AI code editors • Developing advanced prompt engineering strategies, evaluation frameworks, and RAG pipelines • Conducting technical R&D to explore and define the boundaries of model ...

Jobgether

Our partner is looking for a Junior Full-Stack Engineer (AI Code Evaluation) based in Netherlands. This is a unique opportunity for an early-career engineer to work at the intersection of full-stack ...

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Ai Coder information

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How much do ai coder jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for ai coder in the United States is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $34.62 per hour, depending on experience, location, and employer.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing a degree in computer science, data science, or related fields and working on AI projects or certifications can also enhance your qualifications.

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 be found in large tech companies or specialized research organizations.

What types of projects do AI Coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are AI Coders?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

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 valuable, and job opportunities are expected to increase as AI technology advances.

How much do AI coders make?

AI coders, also known as artificial intelligence software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior AI developers with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or companies with advanced AI projects.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as an AI Coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.
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Ai Coder jobs near you
Infographic showing various Ai Coder 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 $57,182 per year, or $27.5 per hour.
Principal AI Developer Experience Architect

Principal AI Developer Experience Architect

SentinelOne

Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Job description

Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We're looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Principal AI Developer Experience Architect, you will serve as the technical authority for the AI engineering layer at SentinelOne, designing how enterprise-grade AI coding assistants and LLM platforms integrate into our engineering workflows. You will own the strategy and architecture that ensures AI-generated code is trustworthy, performant, and reliable by default for an 800+ developer organization. Your work will ensure our AI tooling investment is secure, governed, and measurably impactful across context management, prompt design, and AI-driven code review.
What Will You Do?
Primary responsibilities include:
Architect the AI Engineering Layer
  • Define the end-to-end architecture for AI-augmented development at SentinelOne, centered on enterprise-grade AI coding assistants and LLM platforms integrated with our IDEs, CI/CD pipelines, and internal platforms.
  • Design how large-context LLMs consume our codebase and documentation context so that AI assistance scales safely across hundreds of repos.
  • Establish reusable patterns for agentic workflows with clear rollback and validation strategies.

Own AI Guardrails, Skills, and Standards
  • Define and maintain SentinelOne AI Coding Standards and a global skills & requirements framework that all AI coding tools (our chosen AI coding assistants, PR bots, agents) must enforce, including language, framework, security, performance, and reliability patterns.
  • Translate these standards into prompt templates, tool configurations, and policy-as-code so they are enforced automatically rather than via documentation alone.
  • Partner with InfoSec, Data Governance, and Legal to ensure all AI tooling adheres to SentinelOne's AI Policies, data residency, and FedRAMP compliance requirements.

Implement AI-Driven Code Review and Safety as Code
  • Lead the integration of AI-powered code review tools that use AST analysis and static/dynamic checks to enforce style, security, performance, and reliability standards before human review.
  • Integrate AI review signals with our SRE observability stack (logs, metrics, traces) to correlate code changes with incidents and anomalies, closing the loop from PR to production behavior.
  • Encode "safety as code" by integrating test coverage, performance scans, and progressive delivery patterns (canaries, blue/green) into AI-authored change flows.

Lead Vendor Evaluation and Integration
  • Serve as the principal technical owner for AI developer tooling evaluations using structured evaluation criteria and data-driven analysis.
  • Work closely with the DevEx leadership and TPM to design and run POCs, define technical success criteria, and produce executive-ready recommendations.
  • Ensure all vendors meet SentinelOne's security, privacy, and data governance standards.

Drive Developer Adoption and Experience
  • Act as the technical face of AI DevEx to engineering: publish guidance, patterns, and internal frameworks that make AI tooling a seamless part of everyday work rather than a side experiment.
  • Partner with the AI Champions Network and Learning & Development to define curricula, hands-on labs, and "day-in-the-life" workflows that level up prompt engineering and AI-assisted development skills across developer organizations.
  • Collaborate across the SentinelOne developer community to translate adoption and productivity signals into DORA metrics and ROI narratives that are credible to Engineering Leadership, Finance, and the CFO.

Partner on Reliability, Metrics, and Governance
  • Work with SRE and Reliability Engineering to ensure AI-accelerated delivery improves MTTR, CFR, and SLO performance.
  • Participate in the DevEx governance model to prioritize initiatives, manage risk, and align AI DevEx roadmaps with company objectives.
  • Own the engineering intelligence dashboards and leadership reports to surface the impact of AI tooling on developer productivity metrics.
What Skills and Knowledge Will You Bring?
Ideal candidates will have:
Experience
  • 10+ years in software engineering, platform/dev tools, or infrastructure engineering, including significant experience operating at Staff/Principal level in a 300+ engineer product organization.
  • 3+ years designing and shipping LLM-powered developer tools or workflows in production environments.
  • Proven track record of architecting developer platforms or large-scale internal tooling used by hundreds of engineers.

Technical Skills
  • Deep understanding of LLM context window design, retrieval strategies, prompt engineering at scale, and how they interact with large polyglot codebases.
  • Hands-on experience integrating at least one enterprise AI coding assistant into IDEs and Git hosting platforms.
  • Strong background in AST-based code analysis, static/dynamic analysis, and policy-as-code for automated PR review.
  • Solid understanding of CI/CD systems and progressive delivery and how to embed AI in those pipelines.
  • Strong grounding in security and compliance for SaaS and AI/ML systems

Leadership & Collaboration
  • Experience acting as a cross-org technical leader: aligning Staff/Principal engineers, EMs, and PMs around a shared architecture and standard.
  • Comfortable presenting technical tradeoffs and ROI to senior leadership, and defending architecture choices with data.
  • Proven ability to mentor and partner with the entire Product and Technology organization to deliver complex multi-quarter programs.
  • Excellent written and verbal communication skills; able to produce clear design docs, evaluation criteria, and developer-facing guidance that drive alignment at scale.
Why SentinelOne?
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
Equity & Rewards
  • Restricted Stock Units (RSUs)
  • Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing
  • Flexible time off
  • Paid company holidays and paid sick time
  • Gender-neutral parental leave
  • Grandparent leave

Insurance & Financial Security
  • Medical, dental, and vision coverage
  • 401(k) retirement plan with company match
  • Life and disability insurance
  • Health and dependent care FSA
  • Voluntary benefits (hospital, accident, critical illness)
  • Employee Assistance Program (EAP)
  • ARAG pre-paid legal
  • Nationwide pet insurance
  • Cancer Care program
  • Global business travel medical insurance

Work Perks & Flexibility
  • Home office allowance
  • Mobile phone reimbursement

Wellness & Lifestyle
  • Wellness coach
  • Wellness/gym reimbursement
  • Fertility coverage
  • Adoption & surrogacy reimbursement

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.
Base Salary Range
$216,000-$260,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.

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