Discover what vibe coding jobs are, explore examples by role, and learn how to find opportunities in AI-assisted development.
Vibe coding jobs are roles where shipping real artifacts with AI-assisted tools is an explicit expectation — not a nice-to-have.
These roles show up in engineering, but also product, design, ops, and GTM when prototyping and automation are part of the job.
Senior UX Designer role focused on creating AI-native, trustworthy product experiences for healthcare and life sciences users. Lead design of agent behavior, prototyping, and research to accelerate scientific discovery and improve patient outcomes.
Senior UX Designer for AWS Applied AI Solutions focused on designing AI-native product experiences for healthcare and life sciences users. Lead cross-functional design initiatives to define AI agent behavior, build prototypes, and ensure AI-assisted tools are trustworthy, accurate, and regulatory-aware.
Build and maintain production-grade SaaS applications that integrate AI capabilities to automate workflows and add business value. Focus on backend architecture, APIs, databases, and reliable, scalable systems while responsibly incorporating LLMs and AI APIs.
Join Microsoft AI Fundamentals as a Software Engineer II to build metrics, debugging services, and developer productivity tools that improve search quality and reliability across Bing, Copilot, MSN, Edge, and Windows. Work on large-scale distributed systems, implement AI-native, secure, and scalable code, and contribute to developer-facing tools used across a ~10k-person organization.
You will own analytics for Paxos-issued stablecoins and rewards initiatives, building core metrics, dashboards, and analyses to guide product, rewards, and regulatory work. The role combines advanced SQL, dashboarding, data modeling (Snowflake + dbt), and AI-powered tooling to deliver decision-ready outputs across Product, Engineering, Finance, and Account Management.
Lead AI strategy and solution architecture for government and enterprise clients, defining practical, scalable AI roadmaps and governance while delivering hands-on prototypes. Act as a trusted advisor who designs real AI systems, translates technical tradeoffs for executives, and coaches organizations to adopt and sustain AI capabilities.
Lead corporate applications and AI enablement to launch and scale a citizen development program and AI-driven automation for a global manufacturing environment. Manage senior technology teams delivering integrations, APIs and iPaaS coordination, own SDLC activities and sprint delivery while enforcing governance and change management. This is an onsite role at CoorsTek's Golden, CO headquarters requiring US citizenship or lawful permanent residency due to ITAR.
Serve as the primary partner to the General Counsel at a growing GovTech SaaS company, shaping and scaling the legal function across commercial contracting, privacy, regulatory compliance, governance, disputes, product counseling, and legal operations. Provide practical, business-focused legal guidance embedded with technical and business teams while developing templates, playbooks, and AI-enabled legal tooling.
Senior Product GTM Manager to build and scale Serval’s go-to-market engine, translating product capabilities into consistent messaging, sales enablement, and market launches. This hands-on role builds AI-powered systems and content to drive enterprise selling, working cross-functionally with Product, Sales, Marketing, and Customer Success to increase adoption and revenue.
HealthyCell is hiring a performance-driven CRO Lead to own and optimize landing pages and funnels to increase conversion rate and revenue per session. The role focuses on rapid testing, iteration, and hands-on page builds using no-code/light-code tools to convert paid traffic into measurable revenue growth.
More companies are hiring for roles that require AI-assisted prototyping, fast iteration, and agentic workflows. These aren't future trends — they're already in active job descriptions.
Vibe coding jobs are real, they pay well, and they exist across 5+ categories — not just engineering. Here's what they look like, what they pay, and how to spot them.
Read article →LLM pair-programming is part of the workflow. The role expects you to build with tools like Cursor, Claude Code, Copilot, or similar—using them deliberately, not as a gimmick.
Speed is an explicit requirement. The posting talks about rapid prototyping, shipping faster, shorter iteration cycles, or “0→1” delivery where throughput matters.
You can turn messy ideas into working software. You’re expected to translate ambiguous requirements into code quickly, iterate with feedback, and keep momentum.
Agentic or LLM-native systems show up (when relevant). Mentions of agents, MCP, RAG, evaluation/evals, tool calling, or automation that’s powered by LLMs—especially if the job involves building or integrating them.
Design-to-code / UI generation is valued. The work includes visual builders, design systems, UI generation, front-end tooling, or workflows that bridge design and implementation.
Devtools / platform / internal tooling is a strong signal. Building developer experience, internal products, pipelines, infra tooling, or systems that make teams ship faster.
AI-first product teams count too. Some roles aren’t titled “engineer”, but prototyping is part of the job (PM, design, solutions, ops) and the posting expects you to build real artifacts with AI tools.
The posting gives concrete signals—not vague “AI buzzwords.” We look for specific workflows, tools, responsibilities, or examples that tie directly to building and shipping.
These are the selection criteria for this board. They're why the list is curated and why jobs here should have a clear, explicit connection to vibe coding.
A vibe coding job is any role where AI-assisted building is part of how work gets done — not a novelty. The common thread is faster iteration: prototyping, shipping, testing ideas, and turning ambiguous inputs into working software. Many of these roles explicitly mention vibe coding or AI pair-programming workflows.
Not always. Some postings name tools like Cursor, Claude Code, or Copilot directly; others describe the workflow (“AI-assisted development”, “ship faster with LLMs”, “agentic automation”). We include roles when the connection to AI-driven building is clear and specific, even if the brand names aren’t listed.
We look for concrete signals in the job description: AI pair-programming workflows, rapid prototyping expectations, agentic systems (MCP/RAG/evals), design-to-code tooling, or devtools/internal tooling where speed matters. Each job includes a short “Why it’s vibe coding” explanation so you can see the reasoning instantly.
No. Remote and hybrid roles are common, but we also include on-site positions when the work is a strong fit for vibe coding workflows. Use filters to narrow by location and work style.
We update continuously as new postings appear and older ones expire. Some roles are added daily, and the “Hot” label typically reflects recent listings.
Titles don’t always describe the real work. Some roles (PM, solutions, ops, design, devrel) still require building prototypes, automations, demos, or internal tools — and they benefit heavily from AI-assisted workflows. The “Why it’s vibe coding” line is there specifically for these cases.
Sometimes, but only when the posting is explicit about AI-assisted building and real hands-on work. Many entry-level roles still avoid specifying these workflows, so they’re less common in the feed. If you’re hiring junior, being explicit about tool expectations helps the role show up.
Because vibe coding turns certain non-engineering roles into builders. PMs (and similar roles) can prototype the product, test workflows with users, and validate direction without waiting on an engineering handoff. A PM who can build becomes faster, more accurate, and harder to outcompete.
AI tools lower the barrier to shipping, but the highest leverage shows up at senior levels: judgment, architecture, reliability, and knowing what not to build. Many companies now expect experienced people to use AI to move faster while still delivering quality. The workflow is “faster”, not “sloppier”.
Focus on prototypes that answer real questions: user flows, pricing pages, onboarding, internal tools, or interactive demos. Use AI tools to build small, testable artifacts quickly, then bring evidence (usage, feedback, metrics) into decisions. In hiring, you can stand out by showing shipped prototypes, not just decks.
No — but they are changing what “good” looks like. Teams still need engineers for systems, performance, security, and long-term maintainability. What’s shifting is the iteration loop: more people can build usable versions faster, and engineering time gets spent on scaling and correctness.
Some postings price in a premium for speed and autonomy: people who can scope well, prototype quickly, and ship without heavy coordination. Roles involving devtools, platform work, or agentic systems can also command higher comp because they multiply productivity across an entire org. And in some cases, the high numbers reflect contract/hourly roles rather than full-time salaries.
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