{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":false,"jobs":[{"id":"2663e056-d9fd-4258-880e-84628ae61992","company_id":"bb591e40-89df-4ff5-882e-a4808627a143","title":"Staff Software Engineer, AI Developer Tooling","slug":"staff-software-engineer-ai-developer-tooling-c6a5bb4f","description":"ABOUT SENTRY\n\nSoftware runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.\n\nTrusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.\n\n\n\n\nABOUT THE ROLE\n\nThis isn’t a typical engineering role. You won’t be embedded in a single product team or siloed in one product area. Instead, you’ll sit within Platform Engineering, own the AI-assisted coding domain, and work across all of engineering at Sentry, focused specifically on how AI coding agents participate in our software development lifecycle.\n\n\n\nFor AI coding agents to work well in our repo, the internal systems they depend on need to be accessible via API, not locked behind UIs that require human interaction. Right now, many of those systems aren’t agent-ready. You’ll audit and prioritize that gap, expose those systems programmatically, and build the connections that let tools like Claude Code operate on them end-to-end. From there, the scope expands to improving the quality of AI-generated pull requests and automating the engineering work that’s important but consistently deprioritized. You will look from context engineering standpoint to see what to send to our model; you will look from harness engineering standpoint to see the tools it can use, the permissions it has, the state it carries forward, the tests it has to pass, the logs you capture, the retries, checkpoints, guardrails, and evals.\n\n\n\nYou’ll work closely with the dev infrastructure team as your home base, then collaborate across every product team coding in our repo once the tooling foundation is in place. It’s a broad role with real impact, and the work you do will directly change how Sentry engineers ship software.\n\n\n\n\nWHAT YOU’LL DO\n\n - Audit Sentry’s internal developer systems and make them API-ready for AI agents. You’ll prioritize and drive the work of exposing those systems programmatically, and build the connections that allow agents to operate on them end-to-end.\n\n - Build the harness tooling, context systems, and feedback loops that help agents generate high-quality, repository-aware pull requests, including automated pre-review checks and PR quality measurement tailored to Sentry’s codebase.\n\n - Automate high-volume, low-priority engineering work: security dependency upgrades, minor bug fixes, and routine maintenance, so engineers can focus on higher-value work.\n\n - Design and build internal tools that make engineering more effective: productivity dashboards, AI-assisted issue triage, CI/CD optimizations, and tooling that reduces toil.\n\n - Identify and remove organizational friction. Use data and direct observation to find where engineering is slowing down, recommend solutions to senior leadership, and build cross-team buy-in for changes.\n\n\n\n\nYOU’LL LOVE THIS JOB IF YOU…\n\n - You’re passionate about AI coding tools and curious about how to make them better. You follow the space closely, have opinions about what works, and want to be at the frontier of how AI participates in real-world software development.\n\n - You’re high agency. You don’t wait for permission. When you see a problem, you figure out the right solution and make it happen. You’re comfortable with ambiguity, can structure your own work, and know when to build it yourself, when to delegate, and when to say “this isn’t worth doing.”\n\n - You’ve seen enough systems and codebases to pattern-match quickly. You can move between infrastructure, backend, and developer tooling without friction, and you bring seasoned judgment to technical decisions.\n\n - You’re metric-driven but not metric-obsessed. You use data to make good decisions, and you know the best insights sometimes come from talking directly to the engineers feeling the pain.\n\n - You thrive on variety. You enjoy the pace of “figure this out and build it, then move to something completely different,” and you can shift between strategic and hands-on work without losing momentum.\n\n - You communicate clearly and can influence without authority. You work across team boundaries, present recommendations to senior leadership, and build buy-in for your ideas. People listen because you’ve done the work to understand things deeply.\n\n\n\n\nQUALIFICATIONS\n\n - 10+ years of software engineering experience.\n\n - Experience building tools or workflows that improve how developers or AI agents work. This could be CI/CD or dev infra experience, or it could be AI harness tooling, AI-first coding workflows, or public contributions in this space. We’re open to a range of backgrounds.\n\n - Strong software and system design fundamentals.\n\n - Genuine curiosity and hands-on experience with AI coding tools and agents. Prior machine learning experience isn’t required.\n\n - Excellent written and verbal communication; comfortable presenti","salary_min":155000,"salary_max":400000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["agents","distributed-systems","developer-tools"],"apply_url":"https://jobs.ashbyhq.com/sentry/c00e77f5-bd58-49da-b4a8-3b6249529747/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T18:12:52.205Z","expires_at":"2026-09-29T13:50:33.827101Z","created_at":"2026-07-12T14:18:34.167729Z","updated_at":"2026-08-30T13:50:33.954779Z","company_name":"Sentry","company_slug":"sentry","company_logo_url":"https://www.google.com/s2/favicons?domain=sentry.io\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/2663e056-d9fd-4258-880e-84628ae61992"},{"id":"7857832b-5d3e-4d30-bffc-07b5d76cbbdd","company_id":"2721f049-2cf2-4e3e-82d0-8d8df89c8f90","title":"Senior Site Reliability Engineer (DevTools)","slug":"senior-site-reliability-engineer-devtools-103aff4d","description":"About Nebius: \n Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R\u0026D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R\u0026D.\n The Role\n We're an SRE team within DevTools, looking for someone ready to help maintain and grow our systems. We run 25k builds a day in TeamCity, store 100 TB of artifacts in Artifactory, and work with a massive monorepo in GitLab — comparable in scale to what you'd find at FAANG companies. We modify GitLab and build our own TeamCity plugins to give users a product that meets their needs. We're also experimenting with AI — we have our own RAG setup and are figuring out how to operate in the age of agents. Our goal: understand users' problems and requests, define metrics that capture the problem, improve those metrics, and verify that the user's problem is actually gone.\n Y our responsibilities will include: \n \n \n Improving services based on user feedback\n \n Building fault-tolerant, self-healing architecture\n \n Finding ways to speed up our systems and reduce user friction \n \n Modifying well-known closed- and open-source solutions Supporting our users\n \n We expect you to have: \n \n \n A combination of SRE and SWE experience (for us that's a 50/50 split). Our code is in Java/Kotlin, Go, Python, and Ruby\n \n An understanding of what's happening under the hood in Unix-like systems and the JVM\n \n A passion for improving the user experience \n \n The ability to adapt quickly on the fly in a fast-changing environment\n \n It will be an added bonus if you have: \n \n \n Experience in Platform Engineering\n \n Experience operating GitLab (or another VCS) and TeamCity (or another CI system)\n \n Experience with Spring and operating Java monoliths\n \n We conduct coding interviews as part of the process. \n Benefits \u0026 Perks: \n \n Competitive compensation\n Career growth and learning opportunities\n Flexibility and ownership\n Collaborative and innovative culture\n Opportunity to work on impactful AI projects\n International environment and talented teams\n \n What's it like to work at Nebius: \n Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \n Equal Opportunity Statement: \n Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.\n Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. \n If you need accommodations during the application process, please let us know.","location":"Amsterdam, Netherlands","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["cloud","rag","developer-tools","devops"],"apply_url":"https://careers.nebius.com/?gh_jid=4889227101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-08T16:07:00Z","expires_at":"2026-09-29T13:45:08.989955Z","created_at":"2026-06-28T14:14:22.442757Z","updated_at":"2026-08-30T13:45:09.120564Z","company_name":"Nebius","company_slug":"nebius","company_logo_url":"https://www.google.com/s2/favicons?domain=nebius.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/7857832b-5d3e-4d30-bffc-07b5d76cbbdd"},{"id":"39725d43-bb94-4f80-a7f7-8b0aa7cd5f93","company_id":"f0c85993-fd53-4228-8ce3-b758284c4ecf","title":"Software Engineer,  AI Developer Tools","slug":"staff-software-engineer-ai-developer-tools-48eb3e9f","description":"About Gusto \n At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.\n   All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy .\n   AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.\n About the Role: \n As a Staff Engineer on the Developer Productivity - AI Developer Tools team, you will be the architectural anchor shaping the AI platform that accelerates engineering across Gusto. You will redefine how our entire engineering organization builds, tests, and ships software by architecting a highly secure, context-aware, \"AI-native\" development lifecycle.\n Your mission is to eliminate developer friction through AI tools, multi-agent systems, and intelligent automation. Whether you are building bespoke internal coding assistants, automating sprawling codebase refactors, or deploying AI to self-heal CI/CD pipelines, your work will directly multiply the velocity of hundreds of builders. Help us drive developer productivity by building the next generation of AI tools.\n About the Team: \n The AI Developer Tools team is a specialized team within Developer Productivity. We believe AI is the next great leap in software craftsmanship. Our goal is to provide every builder at Gusto with a suite of \"superpowers\" tools that deeply understand our codebase and absorb operational toil so engineers can focus on creative problem-solving. We treat our fellow engineers as our primary customers, prioritizing developer experiences that are not just powerful, but absolutely delightful to use.\n Here’s what you’ll do day-to-day: \n \n Architect AI Core Infrastructure: Design, scale, and maintain the internal platform and APIs that integrate LLMs into the developer workflow, with a heavy focus on autonomous agents, custom retrieval-augmented generation (RAG), and smart context-delivery systems.\n Drive Technical Leadership \u0026 Vision: Establish engineering best practices for building with AI at Gusto, including robust evaluation frameworks (evals), guardrails for code safety, and strategies for optimizing model latency and token spend.\n Collaborate \u0026 Evangelize: Partner closely with product engineering teams to uncover systemic friction points, and collaborate with core Infrastructure and Security teams to ensure all AI tooling is scalable, compliant, and secure.\n Optimize Feedback Loops: Identify and eliminate critical bottlenecks in the local-to-production lifecycle at scale across Gusto.\n Maintain Enterprise Reliability: Treat AI infrastructure with production-grade rigor. Monitor system health, diagnose complex integration or networking issues, and mitigate model drift or downtime.\n \n Here’s what we're looking for: \n \n 8+ Years of Systems Expertise: You are a seasoned engineer who is highly comfortable navigating massive, complex codebases and delivering production-grade, distributed software.\n Production AI Experience: You have a proven track record of moving AI beyond prototypes. You possess a deep understanding of prompt engineering, fine-tuning, RAG architectures, and orchestrating multi-agent workflows.\n Developer-First Mindset: You are passionate about Developer Experience and Productivity. You intuitively understand what makes an internal tool frictionless, fast, and empowering for other engineers.\n Strategic Execution: You don't just build wrappers; you think deeply about data privacy, security, cost management, and systemic reliability when deploying AI solutions.\n Exceptional Communication: You can seamlessly translate bleeding-edge AI capabilities into clear, actionable infrastructure strategies, mentoring junior engineers and aligning cross-functional stakeholders along the way.\n Working as a Team: You work across team boundaries and bring other teams and groups along with you towards our strategic vision.\n \n Our cash compensation amount for this role is targeted at $180,000/yr to $200,000/yr in Denver \u0026 most remote locations, $220,000/yr to $245,000/yr for San Francisco, New York \u0026 Seattle. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.\n \n Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations wil","location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","agents","llm","rag","developer-tools"],"apply_url":"https://job-boards.greenhouse.io/gusto/jobs/7947684","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-05T20:07:32Z","expires_at":"2026-09-29T13:40:07.978326Z","created_at":"2026-06-28T14:09:31.46108Z","updated_at":"2026-08-30T13:40:08.111214Z","company_name":"Gusto","company_slug":"gusto","company_logo_url":"https://www.google.com/s2/favicons?domain=gusto.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/39725d43-bb94-4f80-a7f7-8b0aa7cd5f93"},{"id":"3ecbd5bd-8330-4cc2-b99b-4672552b139e","company_id":"0143fcae-f513-4ef7-a87b-e1d0d136f7a6","title":"Staff Product Manager (Developer tools)","slug":"staff-product-manager-developer-tools-c0ff1080","description":"About Workato \n Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com \n Why join us? \n Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company.  \n But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.  \n If this sounds right up your alley, please submit an application. We look forward to getting to know you! \n Also, feel free to check out why: \n \n \n Business Insider named us an “enterprise startup to bet your career on” \n \n Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world \n \n Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America \n \n Quartz ranked us the #1 best company for remote workers \n \n We’re looking for a Staff Product Manager for Developer Platforms who doesn’t just ship features—but defines what should exist in the first place . This role owns the end-to-end experience for developers building on Workato: from first API call to production-scale agent systems.\n This is not a roadmap execution role. You will define the platform strategy, make hard tradeoffs, and build a product that developers choose in a competitive market.\n Responsibilities \n We are seeking a strategic Staff  Product Manager to lead our developer-facing products for LLM and Agentic applications. In this pivotal role, you will be the bridge between our developers, our business goals, and our engineering teams, driving the vision and execution of next-generation AI-powered automation and integration tools on the Workato platform.\n You will be responsible for the entire product lifecycle, from identifying market opportunities and defining the product vision to working with engineering to deliver solutions that empower developers. This role requires someone who has successfully built and shipped developer products before, with a deep understanding of developer ergonomics and an instinct for what separates good developer tools from truly exceptional ones.\n This is a critical role for someone with a proven track record in developer experience, a strong understanding of the AI landscape, and the ability to translate complex technical capabilities into tangible business value. You should know what great developer tools look and feel like because you've built them yourself. You will also be responsible to: \n \n \n Define and champion the product vision, strategy, and roadmap for Workato's AI and LLM-focused developer products.\n \n Partner closely with engineering, design, marketing, and sales to deliver exceptional AI products and drive go-to-market success.\n \n Build deep insights into developer workflows, needs, and pain points through direct customer engagement, user research, and community feedback.\n \n Transform developer insights and business requirements into actionable PRDs, user stories, and technical specifications.\n \n Own the product backlog and feature prioritization, making data-driven decisions that balance immediate developer needs with long-term platform vision.\n \n Lead competitive intelligence and market analysis to identify emerging trends and ensure Workato stays ahead in AI developer tooling.\n \n Champion the product vision both internally and externally, engaging with developer communities, conferences, and key technical stakeholders.\n \n Establish and monitor key product metrics including developer satisfaction, API adoption, and platform engagement to drive continuous improvement.\n \n Drive developer adoption metrics and optimize onboarding experiences to reduce time-to-first-value.\n \n Requirements \n Qualifications / Experience / Technical Skills \n \n 7+ years in product management, including owning a developer-facing product or platform end-to-end —from defining the vision to shipping and iterating \n Strong product instincts for  developer platforms , with a clear point of view on what differentiates winning products (DX, capabilities, ecosystem, distribution) \n Experience driving adoption with external developers , including improving key stages of the funnel: discover → try → activate → sca","location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","code-generation","llm","mlops","developer-tools"],"apply_url":"https://www.workato.com/careers?gh_jid=8509542002#open-roles","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-16T03:47:51Z","expires_at":"2026-09-29T13:50:28.85588Z","created_at":"2026-05-27T14:20:14.089759Z","updated_at":"2026-08-30T13:50:28.985729Z","company_name":"Workato","company_slug":"workato","company_logo_url":"https://www.google.com/s2/favicons?domain=workato.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/3ecbd5bd-8330-4cc2-b99b-4672552b139e"},{"id":"79d6dc72-30ad-48c4-864a-1bdbee399e06","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Software Engineer, Quality \u0026 Developer Tools | Consumer Devices","slug":"software-engineer-quality-developer-tools-consumer-devices-b3864180","description":"ABOUT THE TEAM\n\nThe Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards.\n\n\n\n\nABOUT THE ROLE\n\nAs a Software Engineer, Quality and Developer Tools, you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows.\n\nWe’re looking for engineers with deep experience in software quality, automation, developer tooling, and hardware-software integration who thrive on building scalable, reliable systems for validation and release readiness.\n\nThis role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.\n\n\n\n\nIN THIS ROLE, YOU WILL:\n\n - Test infrastructure \u0026 frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack.\n\n - CI/CD integration \u0026 releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes.\n\n - Hardware-in-the-loop lab design \u0026 orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning, and telemetry capture.\n\n - Automation and developer tooling: Develop tools for API and firmware validation, result triage, log capture, replayable bug reports, and workflows that improve engineering velocity and debugging efficiency.\n\n - Quality signals, metrics, and flake control: Build dashboards and alerts for pass rates, stability, and release readiness; detect and quarantine flaky tests; drive root-cause analysis with owners; and track delivery metrics that protect release health.\n\n - Vendor enablement: Create clear procedures and tooling that allow QA vendor technicians to execute repeatable processes, review their reports, and maintain a queue of rig maintenance and repairs.\n\n - Cross-team collaboration: Partner with embedded and systems software teams on testability, and with release infrastructure engineers on pipelines, signing, staged rollouts, and rollback/forward strategies.\n   \n\n\nYOU MIGHT THRIVE IN THIS ROLE IF YOU:\n\n - Have deep experience building software quality, test automation, or developer tooling systems for hardware products shipped at scale.\n\n - Are proficient in Python, C, C++, or Rust, and have strong Linux fundamentals, including processes, networking, storage, and udev/systemd.\n\n - Have experience building CI/CD pipelines, artifact management systems, and reproducible or isolated test environments.\n\n - Have demonstrated success designing and operating hardware-in-the-loop labs and device orchestration systems at scale.\n\n - Are fluent with test reliability techniques such as failure triage, flake detection and quarantine, and signal-quality guardrails.\n\n - Have strong debugging skills across software, firmware, devices, and release infrastructure.\n\n - Work well across teams and enjoy improving the systems that make engineering and release processes more scalable and reliable.\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. \n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employme","location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["developer-tools"],"apply_url":"https://jobs.ashbyhq.com/openai/1ba666a4-0be2-4bd0-ad51-39ed7164c241/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T19:03:36.475Z","expires_at":"2026-09-29T13:30:54.974821Z","created_at":"2026-04-13T09:36:18.401202Z","updated_at":"2026-08-30T13:30:55.116921Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/79d6dc72-30ad-48c4-864a-1bdbee399e06"}],"page":1,"per_page":20,"total":5,"total_is_exact":true,"total_pages":1}