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AI Fullstack Engineer Poland ABOUT US Capco is seeking experienced and motivated AI Engineers to help design, build, and deploy AI-enabled solutions for clients in the financial services industry. As part of this engagement, you will work on complex business, technology, and data challenges, applying modern AI engineering practices to create scalable, reliable, and production-ready solutions. We are seeking professionals combines strong software engineering skills with practical experience in large language models, machine learning, data platforms, and modern AI application development. You will collaborate with client stakeholders, product teams, data specialists, and engineers to turn business needs into AI capabilities that are explainable, maintainable, and aligned with enterprise standards. SCOPE OF SERVICES AI Solution Delivery Design, develop, test, and deploy AI-enabled applications and services. Build solutions using large language models, machine learning, retrieval-augmented generation, semantic search, and agentic AI patterns where appropriate. Translate client business problems into technical designs, implementation plans, and working software. Develop reusable AI components, APIs, prompts, workflows, and evaluation approaches. Ensure AI solutions are scalable, reliable, secure, and suitable for production use. Data, Knowledge, and Retrieval Engineering Work with structured and unstructured data sources to support AI-enabled discovery, reasoning, and decision support. Build or integrate search, retrieval, ranking, and knowledge management capabilities. Develop approaches that help AI systems understand business context, data assets, metadata, documentation, and other enterprise knowledge sources. Improve the quality, relevance, traceability, and explainability of AI-generated outputs. Collaborate with data engineering and platform teams to ensure AI solutions are well integrated with existing data ecosystems. Technical

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London / UK Remote | 💰 Staff Backend Engineer (L60) £130,000 - £170,000 + Equity + Benefits | Technology - Engineering About our Engineering Teams: We have around 650 engineers out of roughly 5,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you’ll learn heaps about everything from how banks work to effective communication. We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do! What you’ll be working on: We rely heavily on the following tools and technologies: Go to write our application code (there’s an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Envoy Proxy for RPC Kubernetes and Docker to schedule and run our services AWS for most of our infrastructure React for internal web dashb

The Leidos Health & Civil Sector is seeking a Software Engineering Lead to support the National Institutes of Health (NIH), National Cancer Institute (NCI). ** This posting is for future business – not yet awarded ** The Software Engineering Lead will oversee the design, development, modernization, integration, testing, deployment, and sustainment of enterprise software solutions supporting NCI. In addition, the Software Engineering Lead will provide technical leadership for software engineering teams responsible for delivering secure, scalable, cloud-native applications that advance NCI's biomedical research and business mission. Working under the direction of the Technical Lead, the Software Engineering Lead will collaborate closely with Government stakeholders, technical Subject Matter Experts (SMEs), solution architects, AI/ML engineers, data engineers, cybersecurity specialists, and DevSecOps teams to ensure the successful delivery of modern software solutions that support scientific research, clinical operations, and enterprise business systems. The successful candidate will champion modern software engineering practices, Agile development methodologies, DevSecOps, cloud-native architectures, and continuous innovation while ensuring high-quality, secure, and maintainable software solutions aligned with NIH and NCI standards. Key Responsibilities Lead the design, development, modernization, testing, deployment, and sustainment of enterprise software applications supporting NIH/NCI scientific, clinical, and business operations. Provide technical leadership across the full Software Development Lifecycle (SDLC) using Agile methodologies, including Scrum and Kanban, to deliver secure, scalable, and high-quality software solutions. Establish and enforce software engineering best practices, coding standards, configuration management, and DevSecOps processes to s

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do In this role, you will be responsible for supporting Point72’s Treasury function with best-in-class technology solutions. You will align the business needs with technology delivery, provide guidance with strategic business architecture, and execute key business projects in line with business optimization needs. Specifically, you will: Lead the technical product buildout to optimize the current application inventory stack while architecting a platform that scales to the firm’s future needs with regards to liquidity, margin and collateral, and key business stakeholder management Develop software and analytics to further develop firmwide mandates such as liquidity risk, margin risk management, collateral management, and funding optimization Manage and lead key stakeholder relationships, especially between Treasury management and Technology Lead and grow a group of product specialists, analysts, quantitative strategists, and developers within Tec

Staff Software Engineer Bengaluru, Karnataka, India Opportunity Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop, and optimize our cloud-native healthcare platform while driving the adoption of AI-First and AI-Augmented Software Engineering practices. This role is pivotal in shaping the future of software development at Get Well by combining deep technical expertise with modern AI-assisted engineering workflows. As we evolve toward an AI-First engineering organization, this leader will champion the use of Generative AI, AI development assistants, and Agentic AI to improve developer productivity, software quality, and engineering velocity. The ideal candidate brings deep expertise in software architecture, cloud-native application development, AI-enabled engineering, and distributed systems. This role provides technical leadership across multiple engineering teams, ensuring high standards for architecture, code quality, reliability, security, and AI adoption. This is a hands-on leadership role where strategic thinking meets deep engineering execution within a complex healthcare environment. This position reports to the Director, Product Development and requires close collaboration with software engineers, AI engineers, product managers, DevOps, QA, and compliance specialists. Key Responsibilities Technical Leadership Define and drive the architecture of scalable, distributed healthcare platforms. Champion AI-First Software Engineering practices across the development lifecycle. Lead the adoption of AI-Augmented Development , including spec-driven development, AI-assisted coding, code reviews, testing, and documentation. Establish engineering standards, Cursor/AI coding guidelines, reusable patterns, and governance for responsible AI usage. Provide hands-on leadership in architecture, coding, design reviews, debugging, and performance optimization. Mentor enginee

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you. You will: Partner with public sector clients to deeply understand their challenges and define AI-driven solutions Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models Participate in customer engagements, including occasional travel (approximately two weeks per quarter) Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing Ideally you’d have: A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience) 7+ years of post-graduation engineering experienc

REQ ID: CSQ427R198 Location: Stockholm, Sweden Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE. The impact you will have: Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought leader in AI/ML What we look for: Extensive experience managing, hiring, and building a team of high-performing data scie

REQ ID: CSQ128R7 Location: London, United Kingdom - Remote location for candidates to be based in the United Kingdom region ONLY ( not remote from any other country) Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our UK AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Director AI FDE. The impact you will have: Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought le

AI Engineer - FDE (AI Forward Deployed Engineer) Req ID: CSQ427R333 Preferred locations: Stockholm, Sweden. Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimisations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate

Qui sommes-nous ? Fondée en 2014, Artefact est une société française de services autour de la data, spécialisée dans le conseil en IA, transformation data et en data & digital marketing. L’approche unique d’Artefact, qui fait le pont entre la donnée et le business, permet à nos clients d’atteindre leurs objectifs business de façon dédiée et efficace. Nos 2500 collaborateurs répartis dans 27 bureaux à travers le monde allient leurs compétences pluridisciplinaires au profit de l’innovation business des entreprises. La mission des Artefactors ? Transformer la data de nos clients en impact business. Dans ce sens, nous collaborons avec plus de 1000 clients, leaders de leurs industries (Orange, Carrefour, Samsung, AccorHotels, L’Oréal, LVMH, Decathlon) et sommes partenaires privilégiés de Google (GMP/GCP), AWS ainsi que Microsoft Azure. En tant que stagiaire Data Scientist, tu seras responsable de : La réalisation de projets de données (sécurisation de la livraison de vos projets) La communication de ton travail et réalisations au sein de l’équipe Travailler en étroite collaboration avec ton homologue conseil pour établir et entretenir des relations solides avec vos clients et mieux comprendre leurs besoins S’assurer que tes solutions apportent des valeurs à la problématique client Rechercher et développer de nouvelles approches techniques pour résoudre efficacement les problèmes Partager les bonnes pratiques et contribuer aux connaissances institutionnelles d’Artefact Tu es ? Tu es étudiant(e) en dernière année de cycle ingénieur, Master 2, ou équivalent, avec une spécialisation en Data Science, Intelligence Artificielle, Mathématiques appliquées, Statistiques ou Informatique. Tu es à la recherche d'un stage de fin d'études de 6 mois à partir de janvier 2027 . Tu possèdes une bonne compréhension de l'écosystème numérique et data et de ses technologies : web analytique, programmatique, DMP,

REQ ID: CSQ427R198 Location: Amsterdam, Netherlands Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE. The impact you will have: Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought leader in AI/ML What we look for: Extensive experience managing, hiring, and building a team of high-performing data

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role If you have a specific expertise or speciality related to this work, please note it in your application via your resume, cover letter or application note. Frontier AI systems are expanding what people can do across domains, creating both enormous opportunities and difficult safety questions: when should a model help, when should it refuse, and how do we make those boundaries clear enough to train, evaluate, and enforce? In this role, you will help define how OpenAI’s models should behave in high-risk or high-ambiguity contexts, such as agentic systems, multimodal systems, user safety, privacy, and other emerging risk domains. This is an ideal role for someone who can move across unfamiliar topics, reason from first principles, and turn ambiguity into practical model behavior. You will work closely with research, engineering, product, preparedness, and operations teams to build policies that are technically grounded, measurable, and responsive to real-world risk. In this role, you will: Design and maintain model policies across safety-relevant domains, including dual-use, agentic, and emerging frontier-risk areas. Translate risk and harm models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards. Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm, exploitation, misuse, or unsafe outcomes. Build policy artifacts that support model training, evaluation, and deplo

This role is part of our Central Platform Engineering Team at saas.group. What is saas.group? Think of us as the driving catalyst behind your favorite software success stories. saas.group, established in 2017, is on a mission to turbocharge promising B2B SaaS ventures, unlocking their full potential. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. With a dynamic, fully remote team of nearly 350+ colleagues spanning 50+ countries we are truly global and we are rewriting the playbook on SaaS innovation and collaboration. We grow 23 exciting brands under our umbrella. Feel free to explore our Candidate's Hub to get an insider's view, dive into our culture, gain valuable insights into our teams and how we work. Also, don’t forget to follow saas.group on LinkedIn to stay up-to-date on our job openings, podcast episodes, and with all things happening at our company. Profile Overview Our Platform Engineering team runs central infrastructure services and partners with brands to modernize their stacks. The mission: provide a “paved road” of opinionated best practices (observability, backups, CI/CD, infra as code) that brands can adopt quickly, and support hands-on migrations when needed. You’ll own outcomes for a set of brands: assess where they are, recommend what “good” looks like, and implement the plan. The role blends architecture, enablement, and practical engineering. It’s senior and autonomous: you’ll advise and sometimes convince stakeholders, then deliver. Your immediate impact in the first 3-6 months will be: Complete central onboarding by pairing with a team member for ~2 weeks to learn our patterns and tooling, then start managing the brands assigned to you. Lead the onboarding of at least one brand to our “paved road” standards (GitHub org, CI/CD, monitoring/observability, IaC), with positive feedback from brand leadership and our team. Deliver one or more migrations/re

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. About Us BYD Electronics (BYDE), a key subsidiary of the Fortune Global 500 company BYD, is a global leader in smart devices, automotive electronics, and data storage solutions. BYD is recognized for its innovation, sustainability, and advanced manufacturing. As part of a fast-growing technology team based in Silicon Valley, we specialize in data center solutions, server assembly, and IT infrastructure. With an expanding global footprint, BYDE is building a dynamic sales force to drive growth and deliver cutting-edge solutions to leading tech and automotive partners worldwide. About the Role We are seeking a driven and experienced Sales & Business Development Manager to join our Silicon Valley team. This role focuses on driving revenue growth in the data center and system integration sectors, with an emphasis on enterprise clients, hyperscalers, and OEMs. This role combines new business development with strategic account management responsibilities. The ideal candidate will have a strong technical understanding of data center hardware or server assembly, a proven track record in B2B sales, and fluency in English and Mandarin to support international client engagement. Key Responsibilities Business Development - Develop and implement strategic sales plans to grow our data center and server hardware business across North America and APAC regions. - Identify and build relationships with key stakeholders at enterprise organizations, cloud providers, and OEMs. - Manage full-cycle sales processes including prospecting, client presentations, proposals, contract negotiation, and deal closure. - Collaborate with engineering and product teams to deliver tailored solutions aligned with customer needs. - Represent the company at key

Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Tenable's InfoSec team is looking for a Security Engineer to join our Security Engineering & Architecture group. This role was built deliberately to span disciplines rather than specialize in one: you'll split your time between securing our cloud environments and supporting general security engineering disciplines across the business — covering cloud and non-cloud systems alike. If you're early-career but curious across the breadth of InfoSec rather than narrowly focused on one domain, this role is built for you. Your Opportunity: Support day-to-day cloud security operations — monitoring, triage, and remediation of findings across AWS, Azure, and/or GCP environments using CNAPP/CSPM tooling. Contribute to Security Architecture Reviews for new systems, integrations, and vendor onboarding — regardless of whether the system in question is cloud-hosted, on-prem, or SaaS. You'll work directly with the architects and engineers who own this process today, learning the methodology and eventually taking reviews from intake to sign-off. Help identify and document misconfigurations, excessiv