Remote Dev Jobs
45 jobs available
Kforce Technology Staffing · 🇺🇸 United StatesRemote1d ago
RESPONSIBILITIES: Kforce has a client that is seeking a Remote AWS Software/Data Engineer for a 6 month contract role. About the Opportunity: We are seeking an experienced AWS Software/Data Engineer to help build and scale intelligent platforms that power personalization, predictive analytics, knowledge retrieval, and AI-driven experiences. This role sits at the intersection of software engineering, cloud infrastructure, data engineering, and applied AI. The ideal candidate is a hands-on engine…
Renishaw · 🇺🇸 United StatesRemote1w ago
About the Role The Software Engineer II contributes to the design, development, testing, and maintenance of software applications supporting the Batch Portal platform. This role operates within an Agile development environment and applies established engineering practices to deliver reliable, scalable, and maintainable solutions aligned with business and product requirements. Translate moderately complex product requirements into software designs and working code in collaboration with other eng…
ToptalRemote2w ago
Headquarters: 📌 Summary We are seeking a hands-on, execution-focused Senior Automation & AI Systems Developer (UiPath & Power Platform) to build, scale, and maintain enterprise automations across our client's regional operations. In this role, you will own the end-to-end development lifecycle for production-grade bots on a mature estate, while actively expanding into cutting-edge AI-assisted and agentic automation patterns. This position balances rigorous build and production support work on a high-volume platform with a genuine, applied pathway into modern AI engineering. Working across UiPath, Microsoft Power Platform, Anthropic Claude, and REST APIs, you will build complex bot architectures, integrate language models, and construct resilient, multi-system workflows. 🏢 General Information (About the Client) Our client operates a mature, enterprise-scale Center of Excellence (CoE) running a robust production estate—executing over 19,000 monthly jobs across 125+ unattended production robots and 200+ active automations. Operating within a modern tech environment utilizing UiPath, Power Platform, Anthropic Claude, ServiceNow, Bitbucket, and Azure DevOps, they are actively advancing from traditional UI-level RPA into agentic automation patterns. They foster a disciplined, engineering-first culture that prioritizes reusable code libraries, structured exception handling, robust CI/CD practices, and strict compliance-ready documentation. Tasks and Deliverables Production Automation Development: Design, develop, test, and deploy resilient, production-grade automations primarily on UiPath across core business lines. Complex Architecture Engineering: Build and maintain advanced bot architectures incorporating multi-system integrations, structured exception handling, retry logic, and automated recovery patterns. AI & Agentic Service Composition: Integrate AI capabilities directly into automation workflows, utilizing Anthropic Claude, Document Understanding, classification m
California Institute of Applied Technology · 🇺🇸 United StatesRemote1mo ago
We are passionate about education and student success. We’re hiring to help bring that belief to life through thoughtful execution, partnership, and a strong commitment to the people we serve. Work from Home (WFH) - Remote work must be performed while residing in New Mexico, Florida or Massachusetts Reports to: VP of Information Technology Employment Type: Full-time The Full Stack Web Developer at CIAT is responsible for designing, building, and maintaining modern web applications that power ou…
LatticeRemote1mo ago
Headquarters: Remote - Canada Location Requirement: This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces. This is Engineering at Lattice Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product experience, ensuring those systems are trustworthy, measurable, and continuously improving is one of the company's most important engineering challenges. The AI Intelligence Quality (IQ) team owns that challenge. We build the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence. The platform you lead won't power a single product—it will shape the quality of every AI experience we deliver, becoming a foundational capability for how AI is built at Lattice. What You Will Do Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning. Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments. Partner closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice. Lead the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences. Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions. Build strong cross-functional partnerships and influence engine
KAI PartnersRemote2mo ago
Headquarters: Remote URL: http://kaipartners.com Description We are seeking a Technical Solutions Engineer / Web Application Developer to design, develop, and support internal and client‑facing web applications, data solutions, and AI‑enabled workflows within a consulting environment. This role is deeply hands‑on and application‑development focused, combining modern web engineering, backend database development, and applied AI integration to solve real business problems. The ideal candidate is comfortable owning features or small‑to‑medium applications end‑to‑end—translating evolving and sometimes incomplete business requirements into production‑ready solutions. Success in this role requires strong analytical and problem‑solving skills, sound engineering judgment, and a pragmatic approach to building systems that are maintainable, auditable, and supportable. This position also plays a key role in implementing AI capabilities responsibly, with attention to control, transparency, and long‑term sustainability. Essential Duties and Responsibilities: Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. Responsibilities include, but are not limited to, the following: Application Development & Support Design, build, enhance, and maintain internal and client-facing web applications Own application features across the full lifecycle, including design, development, testing, deployment, and production support Implement user workflows, data validation rules, audit tracking, and role-based access controls Troubleshoot and resolve issues across front-end, back-end, and database layers Backend & Database Development Design, implement, and maintain relational databases supporting application workflows, reporting, and audit requirements Define and manage database schemas, relationships, constraints, and documentation Translate business processes and reporting needs into structured, maintainable data models Manage schema evoluti
Delinea · 🇬🇧 United KingdomRemote57y ago
About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on Delinea.com , LinkedIn , X , and YouTube . Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you. Apply today to help us achieve our mission. Site Reliability Engineer Summary: Our growing technology company is seeking an experienced Site Reliability Engineer with deep Azure expertise to help maintain the availability, performance, and reliability of our critical SaaS applications. In this role, you will own and drive automation, monitoring, incident response, and infrastructure improvements across our multi-cloud, multi-region environment, working closely with senior engineering and cross-functional teams. What You’ll Do: Own the availability and performance of production SaaS applications running on Azure (AKS, App Service, Redis, SQL, Service
NebiusRemote57y ago
<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D 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&D.</p></div><h3><strong><span data-ccp-props="{}">The role:</span></strong></h3> <p><span data-ccp-props="{}">Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation, and embodied intelligence operating in the real world. As a European-headquartered AI infrastructure company, EMEA is a strategic home market for Nebius and one of the most consequential regions in the global Physical AI buildout—from UK autonomy and foundation-model players, to German humanoid and industrial robotics, to Swiss legged-robotics and Israeli/Nordic frontier startups, to the EU's rapidly accelerating defence and dual-use AI ecosystem.</span></p> <p><span data-ccp-props="{}">The Principal, EMEA GTM – Physical AI owns our GTM motion across EMEA: a regional sales overlay role built to drive repeatable revenue within our first and most important segment—Physical AI natives based in or operating across Europe, the Middle East, and Africa. This is not a generalist regional AE seat. It is a domain-led, EMEA-anchored pipeline generator and deal accelerator designed to create leverage: tighter narratives, sharper use-
ThriveCart · 🇬🇧 London, United KingdomRemote57y ago
About ThriveCart: ThriveCart is a powerful platform used by over 50,000 people worldwide to generate over $5B in sales. Included within the ThriveCart platform is a learning management system (LMS), affiliate management, cart and checkout functionality, making it a top solution for creators, coaches, consultants, and other businesses. We integrate with everything you use and have a simple, clean UI with numerous features that allow customers to build income from existing traffic and we are the highest-converting cart for online businesses. Our business is growing, profitable, and backed by LTV SaaS Growth Funds, and we are looking to expand our footprint amongst online businesses. Location: Remote ( Europe / LATAM) Job Overview: Full-ownership software engineer responsible for building a new system in TypeScript that will replace our existing PHP system, while maintaining the current PHP system throughout the transition. This is not a hand-off role — you take a problem from requirement to production and own it there. You'll work across both stacks, make technical decisions, and be accountable for what you ship. We expect you to use AI coding tools as a core part of how you work. Not occasionally — daily. Your velocity, code quality, and problem-solving should reflect effective AI tool use. What we care about is judgment: understanding what you ship, making the right decisions, and knowing when to push back on AI output. This description applies across experience levels (L1–L4). Interview depth and expectations are calibrated to your level. Tasks What You'll Own: Features from requirements to production: you break them down, build them, ship them, monitor them Technical decisions within your scope, with clear trade-off reasoning Quality of your code and the areas you touch Responding to incidents and dev-escalations in your domain Building the new TypeScript system that will replace the legacy PHP platform Maintaining and supporting the existing PHP system throughout
Localstack · 🇬🇧 United KingdomRemote57y ago
LocalStack - the Local Cloud Sandbox for Developers and AI Agents We are a fast-growing Series A startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&test feedback loops. We’ve closed our last $25mil round in Q4 2024, led by Notable Capital , CRV and Heavybit . LocalStack is a local cloud development platform. LocalStack makes it easier, faster, and less expensive for software teams to ship reliable, high-quality applications to the cloud. The cloud was built to run software, not to support AI-native development workflows. As the world's leading local cloud development platform, LocalStack provides secure local sandboxes that simulate cloud environments, enabling AI agents and software developers to find and fix risks faster and more effectively than they can in the cloud. Our customer base ranges from SMBs to Global Fortune 500 companies. Our clients include companies like NASA, Harness, IBM, Workday, Comcast, Apple, 3M, Block and many more. We are sustainably growing our globally distributed teams across GTM, operations and engineering. In 2025 we almost doubled in size and continue to grow across all areas in 2026. LocalStack is headquartered in Zurich/Switzerland 🇨🇭, with a small engineering office in Vienna/Austria 🇦🇹 and remote team members from 25 countries including 🇺🇸the US, 🇫🇷FR, 🇬🇧UK, 🇨🇦CA, 🇪🇸ES, and many more! 👉Check our Notion Candidate Handbook and our GitHub ! ✅ What you will be working on/responsible for Own the internal cloud infrastructure and serve as the primary point of contact for cloud operations and infrastructure requests. Manage and continuously improve our multi-account cloud environment, ensuring security, governance, and compliance best practices are consistently applied. Support and maintain compliance with SOC 2 Type II and ISO 27001 , ensuring audit evidence is prepared continuously rather than only during audit periods. Operate and improve our identity a
MOTOR Ai · 🇩🇪 Berlin, GermanyRemote57y ago
Driving the transition to autonomous mobility: Our mission is to spearhead the deployment of Level 4 autonomous systems in Germany and beyond. By combining cutting-edge AI with the expertise of our multidisciplinary team, we are set to introduce the first certifiable solution of its kind to European roads. Since 2017, we have remained dedicated to one goal: shaping a future that is already in motion. Tasks Design and implement motion planning algorithms that generate safe and efficient vehicle trajectories under diverse driving conditions Optimize planned trajectories for safety, comfort, and efficiency, balancing competing constraints in real time Validate motion planning behavior in simulation and on real-world test data, identifying and resolving edge cases Work closely with perception and software integration teams to ensure motion planning outputs integrate reliably into the overall driving stack Ensure motion planning algorithms meet defined performance benchmarks and safety requirements for autonomous operation Requirements A completed degree in computer science, robotics, engineering, applied mathematics, or a comparable field - or equivalent vocational training/apprenticeship in a relevant technical discipline. Hands-on experience counts at least as much as the formal qualification 3+ years of experience in motion planning, robotics, or autonomous vehicle software Proven experience developing motion planning/trajectory generation algorithms for robotics or autonomous vehicles, with a solid background in optimization techniques (e.g. model predictive control, sampling-based planners) Strong C++ and/or Python skills, with experience in motion planning frameworks/libraries (e.g. OMPL, MoveIt) and optimization solvers for trajectory optimization/MPC (e.g. CasADi, OSQP, IPOPT) Experience with ROS/ROS2 and simulation environments (e.g. CARLA, Gazebo), plus a solid grounding in control theory and state estimation (e.g. Kalman filters), linear algebra, and numerica
Jobgether · 🇬🇧 United KingdomRemote57y ago
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied AI Senior Consultant based in United Kingdom. This is a senior, client-facing consulting role focused on turning emerging AI capabilities into practical business outcomes in healthcare. You will help health plans and payer organizations identify, design, and scale AI-powered solutions across critical operational workflows. The role combines strategic advisory, hands-on solution design, and delivery leadership from early discovery through production deployment. You will work directly with executives, operational leaders, technology teams, and external partners to solve complex challenges. Your work may span utilization management, claims processing, care management, member services, and administrative operations. You will also help establish responsible AI practices that address privacy, security, compliance, governance, and human oversight. This opportunity is ideal for an experienced AI consultant who can bridge business needs, technical possibilities, and measurable value. Accountabilities Serve as a trusted AI advisor to healthcare clients and payer organizations, helping leadership teams identify high-value opportunities for AI and automation. Lead discovery sessions and solution-design workshops that translate operational challenges into practical, achievable AI use cases and adoption roadmaps. Guide AI initiatives from strategy and use-case identification through pilots, solution implementation, production deployment, optimization, and continuous improvement. Design and deliver AI-powered solutions for payer workflows, including utilization management, claims processing, care management, member engagement, member services, and administrative operations. Develop solutions incorporating large language models, retrieval-augmented generation, workflow automation, copilots, and agentic AI orchestration where appropriate. Define
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany. As an Senior AI Engineer at Eraneos, you’ll combine the worlds of data science, machine learning, software engineering and consulting. Your mission is to develop and operationalize AI models that deliver measurable impact for our clients. You collaborate closely with stakeholders to understand business problems, transform them into data-driven approaches, and translate insights into production-ready end-to-end solutions. You’ll design, implement, and evaluate AI- and ML use cases– from classical ML to cutting-edge LLMs – and ensure their robust deployment and monitoring in real-world environments. Alongside building prototypes, you focus on MLOps practices, software development, and integration, ensuring reproducibility, scalability, and continuous improvement of AI systems. You communicate your results with clarity and confidence to technical and non-technical audiences alike, making complex solutions understandable and actionable. You enjoy thinking beyond the short-term implementation level to create lasting impact for our clients' business. Who you are You have proven experience in data science, statistics, machine learning, software engineering, and / or applied AI projects
Vida Place · 🇩🇪 Munich, GermanyRemote57y ago
Your mission VIDA's Data Solutions team delivers geospatial analytics and software that inform sustainable infrastructure development worldwide - spanning energy, climate resilience, roads, health and other sectors . We're growing the team with a geospatial data engineer who brings strong engineering fundamentals to hands-on geospatial data work at scale. You'll implement, tailor and extend existing methodologies for customer projects and pilots across our sectors, and help grow our agentic AI capabilities for both internal and client-facing use. You'll contribute to client-facing deliverables and discussions alongside a project manager who owns the client relationship, and you'll work closely with our Technology team when it comes to extending our agentic capabilities. What you'll do Apply and customize geospatial methodologies across our sectors at scale, working with a wide range of geospatial, climate, satellite imagery, and other datasets. Contribute to project deliverables — analytical outputs, documentation, and reports — and engage in customer-facing project discussions alongside a project manager. Work with our software platform as part of project delivery, and help extend our agentic AI capabilities for internal and client-facing use, alongside our senior ML engineer. Is it you we’re looking for? Background: Degree and/or professional experience in geospatial data engineering, data science, computer science, AI, or a related technical or scientific field. Experience: 2–5 years combining software/data engineering with geospatial applications, ideally including experience in climate, energy, and/or infrastructure. Technical skills: Proficiency in Python, experience in software engineering, including latest developments in agentic development, and geospatial data engineering. AI-forward mindset: Genuine enthusiasm for using and building with AI tools. Applied project experience: Some experience delivering technical work within client projects, adapting to shi
CHAPTERS Group AG · 🇩🇪 Cologne, GermanyRemote57y ago
About CHAPTERS Group CHAPTERS Group AG is a Hamburg-based holding company investing in 55+ mission-critical software companies across the DACH region, France, and the Czech Republic. Our companies deliver the digital solutions that keep the public sector and core industries running. What they do matters in daily life. AI has rapidly disrupted the software industry, and we aim to lead that transformation across our portfolio. Central to this is the AI Core team: we build and operate a shared enterprise AI Hub used by companies across the group, and drive adoption through a network of AI Champions. Each portfolio company has one designated power user who leads AI enablement locally, runs training, and scales usage within their organisation. Tasks The Role You are part of the AI Core team but your work extends beyond it. Most of your time is spent embedded within one of our portfolio groups: responsible for deploying and operating the AI Hub for the companies within that group and integrating AI into their real business processes. Beyond this, you support the M&A team to develop AI driven use cases to support our acquisition strategy. You build production-grade systems, connect AI capabilities to existing infrastructure and make sure what gets deployed actually runs stably in the long term. You step in when complex AI use cases require real engineering work and changes to the companies cloud infrastructure. What You Will Work On Design and deploy production-grade AI solutions integrated into real operational systems: ERP, accounting tools, email inboxes, and legacy workflows Build, test, and maintain integrations with enterprise services including MCP servers, Microsoft Graph, Git/Bitbucket, and REST APIs You understand that shipping a solution is just the beginning. Your designs gather signals and feedback from operations for a continuous improvement cycle. Ensure AI systems run with full observability: logging, alerting, and audit trails that let non-technical stakeh
gravity9 · JobRemote57y ago
gravity9 is recruiting Java engineers and architects for a portfolio of engagements across UK central government. These are large-scale, data-intensive modernisation programmes: replacing legacy systems that carry statutory weight, decomposing monoliths that serve millions of users, and building secure data platforms where access control and auditability are first-class architectural concerns rather than late additions. We are hiring across two overlapping profiles — Senior Java Developer and Application / Migration Architect — and expect most people to move between programmes as engagements start and complete. Several of these are hands-on architect roles: you will own design decisions and also write production code The kind of work The following are representative of current and upcoming engagements. Individual roles will draw on some of this, not all of it — we are more interested in engineers who can work confidently at the intersection of Java and data than in a checklist match against any one programme. Secure data catalogue and access-control platform A greenfield metadata catalogue acting as a federated index over data held across independent domains, so that authorised parties can locate and retrieve data the catalogue itself never holds. The work includes designing an attribute-based access control model over attributes such as clearance, nationality, organisational unit and compartment; enforcing those policies inside the database query path rather than filtering results afterwards; application-layer encryption with externally managed keys; hybrid lexical and semantic search with access filtering applied before candidate retrieval rather than after it; and a tamper-evident audit trail that can reconstruct why a given record was returned, redacted or withheld. Real-time decision-support data architecture Replacing point-to-point integration across a multi-vendor estate with a microservices architecture and a common data layer, so that operational data flow
MOTOR Ai · 🇩🇪 Berlin, GermanyRemote57y ago
We are MOTOR Ai . Our mission is to make Level 4 autonomous driving a reality in Germany and beyond. By combining state-of-the-art AI with the expertise of our multidisciplinary team, we are poised to introduce the first solution of its kind in Germany that is eligible for certification on European roads. Since 2017, we have been steadfastly pursuing a single goal: to shape a future that is already in motion. Tasks Model Development & Training - Design, train, and fine-tune machine learning models to meet performance, accuracy, and robustness requirements for autonomous driving use cases Model Deployment & Integration - Integrate trained models into production systems, ensuring reliable, efficient, and safe operation within the overall software stack Experimentation & Evaluation - Run structured experiments and evaluations to validate model performance, using established metrics and benchmarks Performance Optimization - Optimize models for latency, memory, and compute constraints relevant to real-time autonomous systems Cross-Functional Collaboration - Partner with data, perception, and simulation teams to ensure models are built on the right data and validated against real-world scenarios Requirements A completed degree in computer science, machine learning, data science, or a comparable field - or equivalent vocational training/apprenticeship in a relevant technical discipline. Hands-on experience counts at least as much as the formal qualification 3+ years of relevant hands-on experience in applied AI/ML engineering Strong knowledge of deep learning and reinforcement learning; familiarity with Active Inference approaches is a plus. Experience in the automotive industry and a track record of turning research papers into working product features are both an advantage Strong Python skills with solid ML fundamentals, and hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow) Experience with reinforcement learning tooling (e.g. Stable-Baselines3
velpTEC edutainment · RemoteRemote57y ago
Characteristics Fixed-term employment contract (initially for two years) Full-time Fully remote from Germany or abroad (German working hours) or hybrid from Hanover, Munich or Leipzig Published on 21.08.2026 Application deadline: 31.12.2026 Earliest start date: 01.08.2027 Teaching load of 18 SWS About us velpTEC is an education institute focused on innovative technologies, combining experience from business, future studies, and new educational approaches. Through our educational offerings, we support people in strengthening their skills for the future in a practice-oriented way, helping them actively shape their own paths in life – and from 2027 onward, also in higher education. VTH – University of Applied Sciences in foundation (in Gründung) is a private university of applied sciences currently undergoing the process of state recognition through the Lower Saxony Ministry of Science and Culture. Our degree programs are launching in the fields of digital technologies, engineering, and innovation-driven management – with a clear commitment to continuously expanding our portfolio and responding to new developments. We understand teaching as a space for shaping solutions for tomorrow. Our approach is project-based, competency-oriented, and closely interlinked with practice. We are looking for individuals who are eager to break new ground in higher education and want to actively help shape our innovative learning environment. We are filling a W2-Professorship in Business Information Systems, Business Analytics and Applied AI (100 %). Your responsibilities Program development: Contributing to the development of the Bachelor's program in Digital Business and Transformation, and assisting in recruiting students Masterclasses and expert seminars: Conducting live sessions on business information systems, business analytics, applied artificial intelligence and data engineering in English Student supervision and examination formats: Providing academic guidance, mentoring, and s
gitlab · RemoteRemote57y ago
<div class="content-intro"><p>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.</p> <p>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. <a href="https://www.youtube.com/watch?v=OuZIb5zszQI">Co-create the future with us</a> as we build technology that transforms how the world develops software.</p> <p>*<em>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.</em></p></div><h2>An overview of this role</h2> <p>As a Senior Backend Engineer on the <a href="https://handbook.gitlab.com/handbook/engineering/ai/agent-foundations/agent-developer/">Flow Components functional team</a>, you'll help build GitLab's <a href="https://gitlab.com/gitlab-org/modelops/applied-ml/code-suggestions/ai-assist/-/tree/main/docs/flow_registry?ref_type=heads">Flow Registry,</a> which provides reusable primitives for agentic flows built on the GitLab Duo Agent Platform. Your primary focus will be backend engineeri
Techtorch · Eu + UkRemote57y ago
Forward Deployed AI Engineer Build end-to-end products on a solid data foundation, with AI as a force multiplier. Data Practice | Remote (Poland) | Senior About TechTorch At TechTorch , we’re building the future of intelligent work. Our mission is to help companies design, build, and deploy AI agents that automate complex, real-world workflows — delivering reliability, measurable ROI, and massive efficiency gains. Here, you won’t just be playing with prompts or running endless proofs of concept. You’ll ship production-grade AI systems that solve real problems across industries. You’ll join a hands-on, fast-moving, ownership-driven team that thrives on building quickly, iterating fast, and seeing results in days — not months. About the Practice TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries. We work the way the best client-delivery teams now operate: small teams, deep ownership, no hand-offs at boundaries. We take problems from a client whiteboard to production, and we let AI do the heavy lifting wherever it earns its place. The Role We're looking for an engineer who builds across the full stack and owns the data underneath it. You can sit in a client session, shape the architecture, design the data foundation, and ship the application that runs on top of it — without handing off at the boundaries. The work spans client delivery and internal accelerator development. You map the problem, structure the solution, and own the outcome from end to end. AI coding agents are central to how we build — not a novelty, but the daily layer that lets a small team cover a lot of ground. What You'll Do Own work end to end — from discovery and solution shaping through system design, build, and production deployment. Design