Staff AI Engineer - Graphing

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. AN OVERVIEW OF THIS ROLE As a Staff Backend Engineer (AI) in the Verify stage at GitLab, you'll help shape and scale the core infrastructure behind GitLab CI. You'll play a central role in how we integrate AI into CI/CD workflows. Your work will impact performance, reliability, and usability for people running millions of CI jobs, from small teams to the largest enterprises. AI is a top priority in the year ahead. In this role, you'll go beyond using AI tools and help define how we design, build, and iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio, including how we measure success, how we instrument behavior in production, and how we account for large language model limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable. We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will: * Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team you will collaborate closely with. * Define what success looks like across our agent portfolio and make sure we're tracking against it — not just shipping, but learning. * Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world. * Examples of Agentic CI work we have planned for the upcoming year: * AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users. * Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges. * Build the instrumentation and observability layer that makes agentic CI trustworthy — trigger volume dashboards, retry rates, cost safeguards — so we can measure what's working, catch what isn't, and iterate with confidence. * Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale. WHAT YOU’LL DO * Shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume. * Design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform. * Define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate. * Build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards. * Own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data. * Write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk. * Lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage. * Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI. WHAT YOU’LL BRING * Advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase. * Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation. * Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains. * Practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production. * A data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria. * Familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration. * Strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes. * Clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment. ABOUT THE TEAM The Verify stage focuses on collaboration, iteration, and helping GitLab users run fast, reliable, and scalable Continuous Integration (CI) pipelines for projects of all sizes, from small teams to large enterprises. For more on how we work, see Team Handbook Page and Related Initiative. Remote-Global HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Tibber

We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market. We’re looking for a Senior Ai Platform Engineer to join us in making the energy transition happen – maybe that’s you? ---------------------------------------------------------------------------------------------------------------------------------- Job Mission 🚀 As a Senior AI Platform Engineer, you’ll join the Agentic Enablement side of our Platform team and help build the technical foundation for how Tibber adopts and scales agentic systems across engineering. Your focus will be on the architecture, workflows and trust infrastructure that allow AI agents to safely support software development - from writing and testing code to reviewing changes, triggering workflows and knowing when to involve a human. This is a platform role, which means the engineers building agents at Tibber are your users. Your success is measured by how quickly and confidently they can move from idea to production without needing you in the room. This role is for someone who enjoys building reliable systems, thinking deeply about architecture and helping teams adopt new ways of working with confidence. ---------------------------------------------------------------------------------------------------------------------------------- What you'll do ✅ * Contribute to the design and architecture of Tibber’s agentic development platform, including orchestration layers, platform integrations, feedback loops and escalation paths, and the developer-facing CLI and onboarding experience. * Take ownership of key platform components, from design and implementation to reliability and continuous improvement. * Help define workflows, quality standards and ownership models for how agents can write, test, review and support code. * Help shape safe and reliable agentic workflows, including human-in-the-loop boundaries. * Build trust infrastructure that makes agentic systems observable, secure, reversible and reliable in production. * Work closely with Staff Engineers and the wider Platform team to build on Tibber’s AWS, Kubernetes and infrastructure foundations. * Bring people along through clear technical communication, thoughtful collaboration and strong engineering judgment. ---------------------------------------------------------------------------------------------------------------------------------- What we're looking for⚡ You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accountability. We believe you'll thrive here if you: * Bring hands-on production experience building and running reliable agentic software systems. * Treat evaluation as a first-class engineering concern, you’ve built eval pipelines for non-deterministic systems, whether LLM-as-judge, regression suites, or golden datasets, and know that measuring agent quality in production is an ongoing discipline, not a launch checklist. * Bring hands-on production experience building and running reliable agentic software systems. * Have strong infrastructure knowledge across Kubernetes, Terraform, Infrastructure as Code, and platform networking. * Demonstrate strong software engineering depth in TypeScript, with the ability to own and operate services end-to-end. * Enjoys to communicate technical directions and collaborate with engineering teams to enable adoption, and turn platform capabilities into real impact. * Apply a strong security mindset to agent permissions, least-privilege designs, and blast radius awareness. * Have working knowledge of Model Context Protocol (MCP), evaluation frameworks, or cloud capabilities like AWS Bedrock. ---------------------------------------------------------------------------------------------------------------------------------- 💆🏻‍♀️💆🏽‍♂️The Tibber Mindset Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life. We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves! Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and Førde. And we're still just getting started. You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.

Gears of Leo AB

ABOUT THE ROLE We are seeking a hands-on, technically fluent engineer to drive the adoption of AI across our entire development organization - someone who finds the friction in how teams work and turns it into automated, AI-powered solutions. As our AI Enablement Engineer, you will embed with engineering and product teams to identify where AI can remove repetitive, manual work, then build and ship the solutions that make it happen. You will work closely with our AI Efficiency Architects and AI Evangelist to turn high-level AI strategy into concrete, measurable wins on the ground. This role is ideal for someone who enjoys variety, moves fast, and gets real satisfaction from seeing their work adopted and relied upon by teams across the company. Your Mission Accelerate how the entire development organization works by finding high-impact use cases for AI, building the solutions that automate them, and spreading those wins so they scale across teams. YOU WILL BE RESPONSIBLE FOR: Use Case Discovery: work directly with engineering and product teams to map their workflows, spot repetitive or slow processes, and identify the highest-impact opportunities for AI-driven automation across the development organization. Rapid Prototyping & Delivery: act as a builder - lead the technical design and implementation of working solutions such as prompt workflows, lightweight agents, scripts, and integrations that prove value fast, then partnering with the AI Efficiency Architects to harden anything that needs to run in production. Reusable Enablement Assets: create templates, playbooks, and repeatable patterns so a proven AI win can spread from one team to many without bespoke work each time. Adoption & Measurement: drive genuine adoption of AI tooling across teams and tie every solution back to concrete outcomes - time saved, throughput, and delivery speed - so impact is visible and quantifiable to leadership. Feedback to the Platform: surface recurring needs and friction back to the AI Efficiency Architects, so the internal AI gateway and tooling evolve toward what teams actually need. Technical Mentorship & Influence: mentor senior engineers on AI best practices and influence engineering roadmaps. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: ESSENTIAL SKILLS Staff-Level Engineering Foundations: 8+ years of professional software engineering experience (Java, Python, Go, or TypeScript) with a proven track record of delivering complex, distributed systems in a production environment. Production-Ready AI Expertise: Deep, hands-on experience moving AI from a cool prototype to a real-world tool. You don’t just write basic prompts - you know how to build reliable agents and RAG workflows, and you understand the practical side of LLMs, like managing costs, speed, and context limits to make tools actually work for production. Strategic Problem-Solving: You have a strong bias for action and can take a vague problem and turn it into a working solution fast. While you focus on delivering value quickly rather than chasing perfection, you always think big - building smart, reusable tools that fix root problems for hundreds of developers, not just one team. Collaboration & Communication: excellent interpersonal skills and the ability to work alongside many different teams, understand their needs, and bring them along on the adoption journey. SDLC/DevOps Familiarity: working knowledge of the tools that underpin the software delivery lifecycle (e.g., GitLab/GitHub, CI/CD pipelines, source control) so that solutions fit naturally into how teams already work. Self-Direction: capacity to manage a varied portfolio of work across multiple teams, prioritize for impact, and deliver with minimal supervision. NICE TO HAVES Excellent presentation and training skills Previous experience running enablement, developer experience, or internal tooling initiatives WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS Hybrid work policy 4 weeks of Workation (T&C apply) 30 annual vacation days Occupational Pension 5,000 SEK wellness contribution annually Parental Leave Top-Up Possibility to enrol in a private health care insurance for both you and your partner 1,500 SEK equipment allowance Benify - benefits portal with many offers and discounts In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**