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Experience Level
Manager
Qualifications
Proven experience in platform engineering and AI training. Strong programming skills in languages such as Python, Java, or C++. Familiarity with machine learning frameworks and tools. Excellent problem-solving abilities and a proactive approach to challenges. Ability to communicate complex technical concepts clearly.
About the job
10xteam is looking for a Lead Platform Engineer - AI Trainer on a freelance basis. This role focuses on guiding and training AI systems to improve their performance and capabilities. Projects span a range of advanced AI initiatives.
Work Arrangement
Freelance contract
Remote work from anywhere in Romania
Flexible schedule: 8 to 20 hours per week
About 10xteam
10xteam is a forward-thinking company dedicated to delivering exceptional technology solutions. We focus on innovation and collaboration, empowering our team members to excel in their fields while driving significant advancements in technology.
People.ai is an innovative AI-driven foundational data platform empowering businesses to achieve go-to-market success and sustainable growth through tailored solutions. Our platform offers enhanced pipeline visibility, actionable insights, and a unified source of truth for all sales activities. People.ai boasts a unique dataset comprising trillions of sales …
Role Overview 10xteam is looking for a Lead Platform Engineer - AI Trainer on a freelance basis. This role focuses on guiding and training AI systems to improve their performance and capabilities. Projects span a range of advanced AI initiatives. Work Arrangement Freelance contract Remote work from anywhere in Romania Flexible schedule: 8 to 20 hours per week
Join Bosch Group as an MLOps & AI Platform Engineer in Cluj, Jucu, where you will play a pivotal role in deploying and optimizing machine learning models and AI platforms. You will work with cutting-edge technology to enhance our AI capabilities and drive innovation.
Location Qualifications: Bucharest (hybrid, 2x week in office)Position Overview:Are you ready to shape the future of data at scale? We are seeking a dedicated Data Platform Engineer to join our impactful and agile Data Platform team, which is an integral part of a forward-thinking Data organization that is transforming our decision-making processes.This is your opportunity to design and enhance a cloud-native, state-of-the-art data platform that provides business insights and fosters a data-driven culture throughout the company. What You’ll Be Doing Build for Scale: Architect and develop resilient, cost-effective, and high-performance data infrastructure on AWS. Streamline Data Flow: Design and optimize robust ETL/ELT pipelines that integrate systems and enable informed decision-making. Automate Everything: Employ Infrastructure as Code (AWS CDK) to automate resource provisioning and manage platform resources efficiently. Stay Ahead of the Curve: Implement leading-edge monitoring, alerting, and logging systems. Identify issues proactively and resolve them swiftly. Think Big: Contribute to shaping our technology strategy and bring innovative ideas to fruition. You’re not just developing systems; you’re helping to build the future. Be the Guardian of Data: Advocate for best practices in data governance, security (GDPR, CCPA), and quality assurance. Document Like a Pro: Produce clear, comprehensive documentation that your colleagues will actually want to read. Lead & Collaborate: Take the technical lead on projects, collaborating closely with teams in Data Science, Analytics, and Engineering. Mentor & Grow: Share your expertise, coding insights, and best practices with the team. Elevate the standard and help others achieve it.
Make Your Work Matter.Advance your career at Qodea, where innovation is more than just a term; it’s the essence of who we are.As a global technology leader, we build the future by empowering top-tier professionals to tackle high-stakes challenges—challenges that can define a career. When you join our team, you’re not merely handling projects; you're pioneering solutions to questions that have yet to be answered.Our exclusive roster includes talent that global giants like Google, Snap, Diageo, PayPal, and Jaguar Land Rover turn to when facing seemingly impossible deadlines and challenges others have failed to overcome.Leave behind mundane consultancy work. Here, you will operate at the intersection of technology, design, and human behavior to deliver rapid, meaningful results. This is impactful work that you will be proud to share with your network.At Qodea, we’re designed for the future. Our environment fosters skill development at the cutting edge of innovation and AI, ensuring continuous personal and professional growth.We are on the lookout for a Senior Platform Engineer to join our Managed Services team.We seek individuals who exemplify:Innovation in solving complex problems.Accountability for every outcome.Integrity in all actions.Role OverviewCloud Solution Design and Implementation:Create and implement scalable, reliable, and cost-effective cloud solutions utilizing Google Cloud Platform services and products.Analyze business needs and recommend suitable cloud technologies and architectures.Develop and maintain cloud infrastructure code with tools such as Terraform or Google Cloud Deployment Manager.Infrastructure Management and Automation:Oversee and automate the deployment, scaling, and management of cloud infrastructure using tools like Kubernetes or Google Cloud Deployment Manager.Optimize infrastructure costs by evaluating usage and implementing cost-saving strategies such as reserved instances or instance rightsizing.Adopt infrastructure-as-code practices to ensure consistency, repeatability, and version control of cloud infrastructure.Security and Compliance:Establish and maintain security controls and policies to ensure the confidentiality, integrity, and availability of cloud infrastructure and data.Monitor and react to security incidents and vulnerabilities, conducting regular security assessments and audits.Ensure compliance with industry standards and regulations such as GDPR, HIPAA, and PCI DSS.Monitoring and Troubleshooting:Monitor cloud infrastructure and services for performance, availability, and security issues utilizing tools like Stackdriver or Prometheus.Conduct root cause analysis and troubleshoot issues related to cloud infrastructure.
Role overview Jobgether is looking for a Staff Engineer to guide the development of its Data Platform. This position is based in Romania and focuses on shaping the company’s data architecture and improving how data moves and is managed across systems. What you will do Design and build scalable data solutions to support Jobgether’s products Collaborate with engineering, product, and other teams to align data initiatives Contribute to setting the direction for data architecture and defining best practices Ensure reliable and efficient data handling throughout all platforms
Join Speechify as a Software Engineer specializing in platform development! In this role, you will be instrumental in building and enhancing our innovative software solutions, helping users unlock the power of text-to-speech technology. You will collaborate with a dynamic team of engineers, contributing to the design and implementation of cutting-edge features.As a part of our team, you will work on diverse projects that push the boundaries of technology and enhance user engagement. We are looking for a creative thinker who thrives in a fast-paced environment and is passionate about creating exceptional user experiences.
Continental AG seeks a Product Platform Development Engineer for its Timișoara location. The role centers on creating platform technologies that enhance how vehicles perform and support safer driving experiences. Main responsibilities Design and develop platform solutions for automotive products Collaborate with engineers from various technical backgrounds Support projects aimed at improving vehicle safety and overall performance Teamwork and collaboration This position requires close cooperation with colleagues across multiple disciplines. The work supports Continental’s focus on quality and ongoing innovation in automotive technology.
Join a Team Where Your Work Makes a Difference.Advance your career with Qodea, where innovation is the core of our identity.As a global technology group that embraces future challenges, we provide skilled professionals with opportunities for impactful work that shapes their careers. When you come on board, you're not just engaging in tasks; you're addressing complex challenges that have yet to be solved.Become part of an elite talent network that global leaders like Google, Snap, Diageo, PayPal, and Jaguar Land Rover rely on when facing tight deadlines, overcoming obstacles, and delivering solutions that must succeed.Forget traditional consultancy — at Qodea, you will work at the intersection of technology, design, and human behavior to achieve rapid and meaningful results. This is work that leaves a legacy, and something you’ll be proud to share.At Qodea, we foster an environment geared towards future advancements. Your skills will flourish at the cutting edge of innovation and AI, ensuring your ongoing growth and development.We are seeking a dedicated Platform Engineer to join our Managed Services team.We value individuals who exemplify:Creativity in tackling the toughest challenges.Responsibility for every outcome.Upholding integrity at all times.Key ResponsibilitiesCloud Solution Design and Implementation:Design and deploy scalable, dependable, and cost-efficient cloud architectures utilizing Google Cloud Platform services.Evaluate business needs and propose suitable cloud technologies and structures.Create and manage cloud infrastructure code with tools like Terraform or Google Cloud Deployment Manager.Infrastructure Management and Automation:Oversee and automate the deployment, scaling, and management of cloud environments using tools such as Kubernetes or Google Cloud Deployment Manager.Enhance infrastructure expenses by analyzing usage and implementing cost-saving strategies like reserved instances or rightsizing.Adopt infrastructure-as-code methodologies to ensure uniformity, repeatability, and version control of cloud settings.Security and Compliance:Establish and sustain security protocols and policies to maintain the confidentiality, integrity, and accessibility of cloud resources and data.Monitor and react to security incidents and vulnerabilities, conducting regular assessments and audits.Ensure adherence to industry standards and regulations such as GDPR, HIPAA, and PCI DSS.Monitoring and Troubleshooting:Supervise cloud services and infrastructure for performance, availability, and security issues using tools like Stackdriver or Prometheus.Conduct root cause analyses and troubleshoot issues related to cloud infrastructure.
Join Speechify, a cutting-edge technology company, as a Software Engineer specializing in platform development. You will be part of a dynamic team dedicated to enhancing our innovative solutions that transform the way people interact with audio content. This role offers an exciting opportunity to work on impactful projects that improve user experience and accessibility.
Speechify is seeking a Software Engineer to join the Platform team in Bucharest, Romania. This group develops the technology that underpins accessibility features and enhances user experiences across Speechify’s products. Role overview This position centers on building and maintaining core platform solutions. The work directly supports how users interact with Speechify’s offerings, with a focus on making products more accessible. Who succeeds here Enjoys creating new solutions and tackling technical challenges Brings strong engineering skills to the table Values teamwork and open collaboration Approaches problems with curiosity and a willingness to learn This role offers the chance to work closely with others while shaping the foundation of Speechify’s accessible technology.
We are seeking a passionate and experienced Senior AI/ML Engineer to join our dynamic team at Endava in Cluj-Napoca. In this role, you will be responsible for designing, developing, and implementing advanced machine learning models and AI solutions that drive innovation and enhance our client delivery processes. You will collaborate with cross-functional teams to deliver top-notch solutions that meet our clients' needs.
Join Grab as a Lead Edge AI Engineer, where you will spearhead innovative AI solutions that drive our business forward. In this role, you will collaborate with cross-functional teams to design, develop, and deploy cutting-edge AI models and algorithms that enhance our services and products. You will be a key player in our mission to leverage artificial intelligence to solve real-world challenges.
Join Anyone AI as a talented Full-Stack Developer and collaborate on groundbreaking projects with a leading AI research lab. This role offers a unique opportunity to contribute your expertise in software engineering to the advancement of AI technologies.Qualifications:Fluent written English with advanced proficiency3 to 7 years of experience in software engineeringExpertise in Python and JavaScript/TypeScript; familiarity with Java, C#, or Go is a plusExperience in backend or full-stack development within production environmentsProficient with testing frameworks like pytest, Jest, JUnit, and Go testingStrong debugging skills and ability to work with large, complex codebasesExperience with code reviews, refactoring, and deploying production migrationsEngagement: Part-time, project-based consulting work.Work Type: Fully RemoteAs a contributor, you will be responsible for designing and evaluating realistic software engineering tasks, including bug fixes, feature development, refactoring, and generating tests. Your work will involve creating intricate coding scenarios and reviewing submissions from peers for quality assurance.This consultant role compensates you on a per-project basis, with hourly rates based on expected completion times. You will have the flexibility to set your own schedule, use your tools, and work with multiple clients as permitted.Responsibilities:In this role, you will:Design and implement coding tasks across various domains including bug fixing, feature development, refactoring, and testingDraft clear and comprehensive natural-language specifications along with reference implementationsDevelop and enhance unit and integration test suitesEvaluate peer-generated tasks for accuracy, clarity, and realismIdentify edge cases, ambiguities, and potential failure modesEnsure alignment between specifications, code, and expected outputsExpected Outcomes:Delivery of high-quality, production-ready coding solutions
Jobgether, on behalf of a partner organization, is hiring an AI Automation Specialist/Engineer based in Romania. This is a fully remote role focused on supporting legal support operations through intelligent automation systems. Role overview This position centers on building and maintaining AI-driven automation that streamlines core business processes. The work targets lead generation, data processing, and client acquisition workflows for legal support teams. What you will do Design and implement AI-powered solutions to enhance lead generation, data handling, and client onboarding processes. Extract, structure, and refine data from multiple sources, integrating it into CRM and outreach tools. Collaborate with leadership to identify automation opportunities and develop scalable, production-ready systems. Increase efficiency throughout the lead lifecycle, from data ingestion through client engagement. Requirements Solid technical experience in automation engineering, data management, and integrating systems. Background in developing and deploying AI tools to tackle complex data and workflow issues. Ability to work independently in a remote environment. Strong collaboration skills with leadership and cross-functional teams. Location This role is remote and open to candidates based in Romania.
Speechify’s mission is to remove barriers to reading and make learning accessible for all. More than 50 million people use Speechify’s text-to-speech tools to turn PDFs, books, Google Docs, news stories, and websites into audio, helping them read faster and retain more. The product suite includes apps for iOS, Android, Mac, a Chrome extension, and a web app. Recent recognition includes Chrome Extension of the Year from Google and Apple’s 2025 Design Award for Inclusivity. The team is fully remote, with nearly 200 people from a range of backgrounds. Colleagues include alumni of Amazon, Microsoft, Google, Stanford, and founders from companies like Stripe, Vercel, and Bolt. Technical skill and strong performance drive leadership opportunities here. Role Overview The Platform Software Engineer will help shape, build, and support backend services at Speechify. This includes systems for payments, analytics, subscriptions, core product features, text-to-speech, and external APIs. The work is both strategic and hands-on, with a focus on product decisions and delivering a strong user experience. Speechify values a flat structure where results and technical ability open doors to leadership. Success here comes from a strong work ethic, clear communication, and a drive to compete and improve. Interview Process The hiring process is streamlined and includes several technical assessments, typically completed within one week. Location This is a remote position based in Iași, Romania.
Flosum is a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams, including those in the Fortune 5000. As the company grows, Flosum is focused on pipeline generation, customer retention, and speeding up product development. AI plays a central role in these efforts. Flosum is hiring its first AI Go-to-Market Engineer. This remote role (based in Romania) will shape, deploy, train, and refine AI agents and automation throughout the revenue process, from first contact to closed deals and customer expansion. The position reports directly to the CEO. Role Overview This is a hands-on builder position, not limited to prompt engineering. The AI Go-to-Market Engineer will work across revenue operations, sales, marketing, and customer success. The goal: boost the Go-to-Market team's productivity by implementing AI systems that drive lead generation, accelerate sales cycles, and reduce customer churn. What You Will Do Deploy and personally train an AI Sales Development Representative (SDR) agent within the first 30 days. Focus on inbound qualification from platforms like Qualified or Marketo, and outbound prospecting via Outreach. Improve its performance weekly until it outpaces the lower half of current human Business Development Representatives (BDRs). Build an AI-driven inbound qualification system to capture, score, and route every website visitor and form submission in real time. Ensure no lead is missed and Account Executives (AEs) only engage with high-potential prospects. Double the revenue-generating time for AEs, from about 25% to over 50%, by automating CRM updates, call summaries (using Gong), follow-up sequences, proposal drafts, and pipeline management, removing routine administrative work. Design the AI layer across Flosum's Go-to-Market stack (Salesforce, Marketo, Outreach, Qualified, Gong). Enable smooth data flow, capture all customer interactions, and create a feedback loop where AI agents share insights with Salesforce as the central hub. Set up and manage an AI-powered competitive intelligence engine. Track competitors, pricing changes, and product launches, then deliver structured insights to sales and product teams each week. Scale outbound campaigns to ten times the current volume without increasing headcount. Use AI to analyze accounts, create tailored messages based on Ideal Customer Profile (ICP) signals (such as Salesforce team size, DevOps tools, and compliance needs like DORA), and run multi-channel outreach through email, LinkedIn, and phone. Develop a closed-loop data feedback system connecting BDR activities, pipeline outcomes, and AI agent performance. Use real conversion data to continually improve ICP targeting, messaging, and channel strategy. Implement AI-assisted customer health scoring and churn prediction models. Spot at-risk accounts before renewal and provide actionable triggers for the Customer Success team based on usage data.
Join our innovative ML Platform team as a Senior Machine Learning Platform Engineer, where you will play a key role in designing, evolving, and scaling the AI infrastructure that drives Bolt's intelligent services.With over 200 million customers across more than 50 countries, Bolt is among the fastest-growing tech companies in Europe and Africa. Our success is driven by our talented people who thrive in an inclusive environment, welcoming individuals regardless of race, color, religion, gender identity, sexual orientation, age, or disability.We aim to reshape urban living, making cities more accommodating for people rather than vehicles. Your expertise is vital to help us achieve this mission!The ML Platform Team simplifies the deployment of ML/AI systems at scale, managing hundreds of real-time algorithms. We oversee training orchestration, inference software stacks, and a Feature Store, which includes VectorSearch and RAG tooling. Our team is responsible for developing LLM tools and CI/CD for machine learning, addressing the comprehensive needs of ML infrastructure.Our technology stack features TypeScript, Python, Spark (both batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, and Great Expectations.
Join us at the cutting edge of AI integration within our Low Code Platform (CodeX), empowering transformative solutions for our diverse clientele. Be a part of an international team dedicated to pioneering projects spanning multiple countries. At Codeless, you will thrive in a dynamic environment where innovative technologies are at the forefront, backed by our 37 years of expertise in delivering exceptional software.In this role, you will collaborate with a team of passionate professionals focused on enhancing our platform. We are seeking a Senior Back End Developer (.Net) who possesses a robust understanding of AI and has demonstrated experience in effectively leveraging AI in software solutions. Your ambition to integrate AI into our platform will be pivotal as we prioritize this initiative.Our R&D/PD team is committed to innovation and the continual evolution of our in-house Low Code Development platform, Codex. Utilizing this platform, our Low Code Developers are empowered to create cutting-edge applications for our clients efficiently. Your responsibilities will include:Integrating AI solutions to enrich our platform's capabilities;Developing backend services for the CodeX engine;Employing Domain Driven Design within the platform;Containerizing our existing architecture;Architecting and implementing a microservice-based architecture.We are continuously exploring and adopting technologies such as Microservices, Micro Frontend, Event Store, and CQRS among others.
Join Endava as a Senior AI/ML Engineer, where you will be at the forefront of developing innovative solutions leveraging artificial intelligence and machine learning technologies. Collaborate with cross-functional teams and utilize your expertise to drive impactful projects that enhance our clients' success.