Applied AI Engineer

About FundamentalFundamental is at the forefront of artificial intelligence, revolutionizing enterprise decision-making. Founded by experts from DeepMind, we have introduced NEXUS – the most advanced Large Tabular Model (LTM) designed specifically for the structured data that underpins critical business decisions. Supported by premier investors and relied up…

SaaS Group is hiring an Applied Research Scientist with a focus on Machine Visibility. This remote position is open to candidates based anywhere in Europe. Key Responsibilities Use advanced analytical techniques to refine and enhance machine learning models. Develop solutions that strengthen SaaS Group’s product features and performance. Address complex challenges related to machine behavior and visibility. Share research and insights to improve understanding of machine operations and interactions. Location This role is fully remote for candidates located in Europe.

About Cantina:Cantina Labs is an innovative social AI company dedicated to developing cutting-edge real-time models that redefine expression, personality, and realism. Our mission is to animate characters and revolutionize storytelling, connections, and creativity. Our flagship platform, Cantina, is just the beginning of a transformative journey in social AI.If you are passionate about harnessing AI to enhance human creativity and social interactions, we invite you to join us in shaping the future!About the Role:We are seeking an Applied Machine Learning Engineer with extensive hands-on experience in building large-scale video generation models—from data collection and training to distillation and acceleration into production-ready models. Our models are designed to be human-centric and product-oriented: envision interactive characters that can respond to text, audio, and image inputs while generating video with minimal latency.This role combines applied research and engineering: you will focus on training runs, data management, model optimization, and the crucial process of transforming a capable research model into a real-time experience.Typical time allocation (approximately):60–75% dedicated to training, fine-tuning, and distillation of large video models.15–25% focused on inference optimization (latency, memory, cost) and model runtime enhancements.10–15% allocated to prototyping and product integration (transitioning demos into shipped features).Your Responsibilities:Train and scale video generation models: Execute large-scale training and fine-tuning on multi-GPU (and as necessary, multi-node) environments; manage the training loop, maintain stability, checkpoints, and enhance iteration speed.Manage video modeling data: Develop and enhance video datasets and pipelines (including decoding, sampling, filtering, quality control, conditioning alignment, and storage formats), ensuring the pipeline remains efficient and reliable at scale.Distill and compress large models into efficient ones: Implement teacher-student distillation, reduce steps, simplify architectures, and balance quality and speed to meet real-time constraints.Achieve real-time model performance: Conduct profiling, optimize memory usage, apply quantization-aware techniques when suitable, improve kernels and runtime, and focus on practical throughput and latency enhancements.

About CrackenagiFounded by former nation-state operators and leading AI researchers, Crackenagi stands as the world's premier Uncensored Vibe Hacking platform. Our mission is to empower security teams while providing enterprises with robust, verifiable security resilience.We are on an exciting growth trajectory and are looking for an AI/ML Engineer who will play a pivotal role in shaping the future of cybersecurity.Key ResponsibilitiesDesign and develop LLM-based pipelines and intelligent systems aimed at secure code comprehension and generation within production SaaS environments.Establish and oversee the infrastructure necessary for training, evaluating, and deploying LLMs, fulfilling MLOps responsibilities.Collaborate closely with data science, product, and security teams to seamlessly integrate machine learning into customer-facing features.Engage in ML/AI research and prototyping to investigate and validate cutting-edge techniques and tools.Enhance existing models for improved latency, accuracy, and cost efficiency, while implementing new methodologies as the field progresses.Ensure the protection of data integrity and security throughout the entire machine learning lifecycle.QualificationsA minimum of 3 years of experience leading applied AI projects with a proven track record of scaling LLM or multi-agent systems for production use.Extensive proficiency in Python programming.Hands-on experience with AI agent frameworks, including:Development of Generative AI Agents using Langchain, Haystack, and similar technologies;Implementation of Retrieval-Augmented Generation (RAG) with LlamaIndex and other advanced frameworks;Evaluation of AI Agent performance metrics;Integration of AI Agents within existing systems.Familiarity with cloud technologies relevant to the ML/AI ecosystem.Experience in MLOps, including infrastructure establishment, model assessment, and serving pipelines.Preferred QualificationsBackground in cybersecurity products, having worked on security-oriented software or platforms.Experience with containerization and orchestration of ML services (Docker, Kubernetes) and workflow automation.Publications or significant contributions to open-source projects in ML or security domains.Familiarity with code analysis or application security fields.

Join Lingarogroup as an AI/ML Engineer and be at the forefront of technological innovation. In this role, you will leverage artificial intelligence and machine learning technologies to develop groundbreaking solutions that enhance our financial services.

About FundamentalFundamental is a pioneering AI company reshaping enterprise decision-making. Established by alumni from DeepMind, we have created NEXUS – the most advanced Large Tabular Model (LTM) specifically designed for the structured data that informs crucial business decisions. Supported by top-tier investors and relied upon by Fortune 100 companies, we unlock trillions of dollars in value through our Power to Predict.At Fundamental, you will tackle groundbreaking technical challenges in foundation model development and contribute to technologies that revolutionize how the world’s largest enterprises make decisions. This is your chance to be part of a transformative company from the very beginning. Join us in defining the future of enterprise AI.

Join our innovative team at Lingarogroup as an AI/ML Engineer - Architect where you will be pivotal in shaping the future of artificial intelligence and machine learning solutions. You will architect and implement state-of-the-art AI systems that drive business value and enhance operational efficiency.Your role will involve collaborating with cross-functional teams to design robust AI frameworks, optimizing algorithms, and ensuring the scalability and performance of machine learning models.

Join our dynamic team at Synthesia as a Senior Research Engineer specializing in Video Foundation Models. In this pivotal role, you will lead the research and development of cutting-edge pre-training techniques, shaping the future of video AI. We are looking for innovative thinkers who are passionate about pushing the boundaries of technology.

About SmartcatAt Smartcat, we are pioneering the future of work where human expertise collaborates with digital partners to achieve unprecedented productivity gains for top-tier enterprises.We stand at the forefront of a groundbreaking domain: Agentic AI. Our mission is to empower businesses to create high-performing hybrid teams that seamlessly integrate human talent and AI agents. These agents are not just generic assistants; they are specialized digital teammates trained to learn from your top talent, content, and strategic goals—ready to deliver from day one.Our innovative platform unites generative AI, human-in-the-loop processes, and a dynamic Enterprise Skill Graph that evolves continuously. Whether you are launching a global product, onboarding new employees, translating educational materials, or coordinating legal teams across borders, Smartcat transforms knowledge into actionable insights and scalable solutions.With over 1,000 clients, including 20% of the Fortune 500, Smartcat is trusted to help businesses reach global audiences instantly, accurately, and in every language. As a rapidly growing Series C company, boasting a remarkable 130% year-over-year growth, we are on the lookout for passionate individuals eager to shape the future of work alongside us.Join us in unlocking global potential, one human and AI team at a time.

Role Overview:Join our dynamic engineering team at mazehq, where you will be instrumental in advancing our innovative AI Agents and machine learning systems. This role offers an exceptional opportunity to create, develop, and enhance a product from inception to deployment, greatly impacting architecture choices, machine learning integrations, and the overall user experience. Be a part of our mission to deliver cutting-edge AI-driven cybersecurity solutions, ensuring robust integration across all layers of our technology stack.Your Impact:AI Agent Development: Take a central role in creating and scaling sophisticated AI Agents to address critical cybersecurity challenges.System Architecture & Development: Architect and build backend systems tailored for agentic workloads, prioritizing scalability, security, and maintainability.Ownership of Development Cycle: Lead the full development lifecycle, from ideation and design through to deployment and ongoing maintenance.Collaborative Integration: Collaborate closely with fellow engineers and product managers to ensure seamless integration of new features and functionalities.Performance Optimization: Regularly assess and enhance application performance, security, and scalability.Best Practices Establishment: Define and uphold coding standards and documentation practices to ensure high code quality.Rapid Prototyping: Quickly develop and iterate on new features based on user feedback and evolving requirements.Mentorship: As our team expands, mentor less experienced engineers and lead technical discussions and code reviews.Qualifications for Success:Experience: Over 7 years of backend development experience.Backend Expertise: Proficiency in backend development, particularly in RESTful API design, database management, and server-side frameworks (e.g., Python).Machine Learning & AI Knowledge: Familiarity with machine learning principles and experience integrating large language models or other AI services into production applications. Knowledge of tools such as LangChain or LlamaIndex is advantageous.Cloud Familiarity: Experience with cloud platforms (e.g., AWS) and their machine learning services, along with DevOps practices including CI/CD and containerization (e.g., Docker).

About FundamentalFundamental is at the forefront of AI innovation, revolutionizing enterprise decision-making. Established by former DeepMind experts, we have created NEXUS, the most advanced Large Tabular Model (LTM) designed specifically to optimize the structured records that drive vital business decisions. Supported by top-tier investors and relied upon by Fortune 100 companies, Fundamental empowers organizations to unlock immense value through predictive insights.Join us to tackle groundbreaking technical challenges in foundation model development and create transformative technology that reshapes decision-making for the world's largest enterprises. Be a part of a pioneering team shaping the future of enterprise AI.About the RoleWe are seeking a skilled Model Serving Engineer to take ownership of the production inference layer for NEXUS. In this role, you will ensure the reliable and efficient serving of models at scale, primarily utilizing Triton Inference Server, while developing the infrastructure that seamlessly connects our research with customer applications. This is a highly technical position, heavily focused on Python, situated at the crossroads of systems engineering and applied machine learning.You will collaborate closely with our research and engineering teams to translate model outputs into production-grade inference pipelines that adhere to stringent latency and throughput benchmarks.Key ResponsibilitiesDesign, build, and maintain the production model serving infrastructure using Triton Inference Server as the core framework.Implement and optimize inference pipelines, including custom backends, dynamic batching strategies, and model ensemble configurations within Triton.Enhance Python inference code for optimal performance, emphasizing GIL contention, multi-threading, and concurrency patterns.Fine-tune throughput and latency across the entire serving stack, managing batching policies, thread pool sizes, model instance groups, and memory layouts.Collaborate with the research team to grasp new model architectures at a computational level, including batching behavior, dynamic shapes, and memory access patterns.Oversee full resource observability and control loops for production inference - monitor GPU memory, CPU usage, batch queue depth, and latency metrics, actively tuning model instance groups and configurations based on observed performance.

About FundamentalFundamental is at the forefront of AI innovation, revolutionizing enterprise decision-making. Founded by alumni of DeepMind, we have created NEXUS, the world’s most advanced Large Tabular Model (LTM) designed specifically for the structured records that drive business decisions. Supported by top-tier investors and trusted by Fortune 100 companies, Fundamental empowers organizations to unlock trillions in value by providing unparalleled predictive capabilities.Join us and tackle groundbreaking technical challenges in foundation model development as you contribute to transformative technology that reshapes how the largest corporations navigate decision-making. Seize the opportunity to be a key player at a pioneering company defining the future landscape of enterprise AI.About the RoleWe are seeking a Product Manager to enhance user interactions with our platform. You will be responsible for the product roadmap, focusing on expanding user engagement, data connectivity, and addressing diverse use cases by translating cutting-edge machine learning research into practical solutions for real business challenges.Your role will bridge Engineering, Research, Forward Deployment Engineering, and our clientele. You will articulate what we create, the rationale behind it, and ensure we deliver substantial value to enterprises facing intricate data challenges.Key ResponsibilitiesLead the product vision and roadmap for platform enhancements, including novel interaction paradigms, data integration, and enterprise applications.Collaborate with Research and Engineering to convert model capabilities into product features, defining specifications and facilitating iterative releases.Work alongside Forward Deployment Engineers to gain insights into customer needs and integrate these insights into product strategy.Engage directly with clients to validate challenges, gather feedback, and solidify conviction around future developments.Establish success metrics and leverage data to guide product decisions.Address the unique challenges of productizing machine learning and AI capabilities for enterprise settings.Must-Have QualificationsOver 7 years of experience in product management, particularly in ML/AI or data-centric products.A technical background that enables you to read code, review pull requests, and engage in informed architectural discussions with engineers....

Role overview yuno seeks a Solutions Engineer based in Europe to deliver tailored technology solutions for clients. This position combines technical expertise with client interaction, supporting both customer needs and internal teams. What you will do Partner with clients to understand their requirements and recommend solutions that fit their needs Work alongside product, engineering, and other teams to design and implement technical integrations Refine and improve existing solutions to drive better results for clients and the business Contribute to project delivery from initial planning through to execution Requirements Solid technical background with strong problem-solving abilities Experience engaging with clients or external partners Ability to collaborate across multiple teams to reach common objectives

About GigsAt Gigs, we are revolutionizing the mobile services landscape by creating a platform that enables tech companies to seamlessly embed global connectivity within their products.Similar to how Stripe simplifies payment integration, Gigs empowers platforms to incorporate connectivity effortlessly—bridging the traditional telecom world with modern technology. We cater to a variety of sectors, from fintechs launching mobile services to HR platforms providing work phone plans, by automating provisioning and alleviating telecom complexities.With a dedicated team of approximately 100 professionals across the US and Europe, we are supported by nearly $100 million in funding from esteemed investors such as Ribbit Capital, Google, and Y Combinator. As one of the fastest-growing tech firms, we unite early-stage engineers, product innovators, and business strategists from renowned companies like Stripe, Airbnb, and Shopify. We are committed to addressing profound technical and regulatory challenges to ensure truly seamless connectivity.If you are fueled by curiosity, creativity, and the desire to shape the future of telecom, we would be excited to connect with you.Our ChallengesOur focus is on robust software engineering rather than hype. Carrier APIs vary significantly across different countries, providers, and regulatory environments. Real-time provisioning, porting, and eSIM lifecycle management come with strict SLA requirements. Our systems must be observable, operable, and resilient. In the event of a carrier integration failure at 3 AM in a distant market, we need to be alerted before our customers are.We operate in an environment where decades-old carrier protocols intersect with eSIMs, IoT, satellite connectivity, and the evolution towards 6G. We strive to make the traditional telecom landscape programmable for the future. As a platform company, we are focused on solving real, enduring issues that will not fade away with the next hype cycle.Our engineering team is set to double by 2026. As we embark on this next phase, we are establishing a senior individual contributor track and are looking to hire multiple staff and principal engineers. The challenges we face today are becoming more complex, with new markets, connectivity paradigms, and an architecture designed to support us for years to come, not just quarters.

Gigs builds a platform that lets technology companies add global mobile connectivity to their products. By bridging traditional telecom with modern software, Gigs removes barriers for businesses, like fintechs or HR platforms, who want to offer mobile services without telecom headaches. The team spans the US and Europe, with about 100 people and backing from investors such as Ribbit Capital, Google, and Y Combinator. Gigs brings together engineers and leaders from companies like Stripe, Airbnb, and Shopify to solve technical and regulatory problems in telecom. What you will do This Senior Platform Engineer role focuses on the infrastructure and developer tools that power Gigs’ connectivity and payment platforms. The Foundation team owns core systems used by every engineer at Gigs, including: CI/CD pipelines Cloud infrastructure Observability Deployment tools Shared platform services Expect to tackle complex infrastructure challenges and help keep Gigs’ products running smoothly at scale. What Gigs values Speed: Deliver results quickly and treat each week as a chance to achieve more. Ownership: Take initiative to solve problems, don’t wait for permission. Customer focus: Prioritize customer success alongside company goals. Embracing ambiguity: Make decisions with incomplete information and use sound judgment. Questioning norms: Challenge established methods and seek to understand their origins. Who thrives here People who enjoy complex challenges, move quickly, and take responsibility for results do well at Gigs. Curiosity, creativity, and a drive to shape the future of telecom are valued traits.

About GigsAt Gigs, we are pioneering an operating system for mobile services—a platform enabling tech companies to seamlessly integrate global connectivity into their offerings.Much like how Stripe allows businesses to implement payment solutions in moments, Gigs enables platforms to incorporate connectivity, effectively merging traditional telecom with cutting-edge technology. From fintechs launching mobile services to HR platforms providing work phone plans, we streamline provisioning and eliminate telecom intricacies.Our dynamic team, comprising around 100 individuals across the US and Europe, is supported by nearly $100 million in funding from esteemed investors including Ribbit Capital, Google, and Y Combinator. As one of the fastest-growing companies in technology, we unite early-stage engineers, product innovators, and strategic thinkers from renowned organizations like Stripe, Airbnb, and Shopify. We are addressing significant technical and regulatory challenges to ensure truly seamless connectivity.If you are fueled by curiosity, creativity, and the desire to redefine the future of telecom, we would be thrilled to connect with you.The RoleWe are on the lookout for a Senior Software Engineer specializing in Integrations who excels at the confluence of engineering and meaningful impact. You are not merely a coder — you connect systems, enable teams, and transform complexity into elegant solutions. For you, coding is a pathway to delivering business value, crafting sophisticated integrations, and enhancing product synergy. If you relish addressing challenging problems, collaborating across departments, and building the infrastructure that makes everything function seamlessly, this role is tailored for you.

Join Viktor, your AI coworker that integrates seamlessly with Slack and Microsoft Teams, connecting to a multitude of tools to drive real results for various industries including finance, marketing, operations, and engineering. We are on a mission to create a product that will revolutionize the SaaS landscape by replacing multiple tools with a single, efficient teammate.Our team is compact yet ambitious, and we are looking for a forward-thinking individual.The Short VersionAs our first Growth Analytics Engineer, you will be the custodian of data integrity. Your responsibilities will include writing SQL queries, constructing data pipelines, and developing insightful dashboards that the entire team relies on. You are proactive, seeking answers rather than waiting for direction, embodying the dual role of both engineer and analyst.What's Actually Going On HereCurrently, critical business decisions regarding retention, pricing strategies, channel optimization, and unit economics are made using individually crafted spreadsheets. While this approach has served us well thus far, it’s becoming clear that as we scale, we need a dedicated analytics layer owned by a single expert.In this role, you will lay the groundwork as our inaugural Growth Analytics Engineer, tasked with establishing the entire analytics infrastructure from data warehousing to dashboards. You will report directly to the co-founders, playing an integral role in our growth trajectory.What You'll Actually DoManage the ClickHouse data warehouse comprehensively, overseeing schema design, data ingestion, backfill processes, and performance optimizations. You will have autonomy over its structure and content.Develop and sustain data pipelines for our key data sources including Postgres, Stripe, Slack, and advertising platforms. You will not only create these pipelines but also ensure their reliability.Lead the Business Intelligence layer by creating and maintaining Hex dashboards tailored for growth, finance, support, and product insights. You will also be responsible for regularly reviewing and optimizing these dashboards to prevent clutter.Proactively address fundamental business queries such as retention cohorts, credit and unit economics, channel attribution, churn rates, and the effects of pricing changes. You will bring insights to the team as they arise from the data.Implement monitoring and alerting systems to ensure that we are promptly informed of any concerning metric changes, rather than relying on customer feedback.Collaborate closely with co-founders and various leaders throughout the organization. Your analyses will inform decisions across sales, growth, and strategy, necessitating quick prioritization and execution of tasks, while confidently challenging misaligned inquiries.

Join Kestra as a Lead Java Software EngineerAt Kestra, our mission is to simplify orchestration and automation for teams globally. Our cutting-edge open-source platform empowers organizations to manage intricate workflows with confidence, making a significant impact across various industries. We are currently seeking a talented Lead Java Software Engineer to elevate our platform and contribute to our expanding success.In March 2026, we successfully closed a $25 million Series A funding round led by RTP Global, with additional support from Alven, ISAI, and Axeleo, backed by founders from renowned companies like Datadog, dbt Labs, and Hugging Face.Your ResponsibilitiesAs our Lead Software Engineer, you will:Enhance our core platform backend leveraging Java technologies.Develop robust enterprise solutions that cater to our clients' evolving needs.Lead and mentor a team of engineers, facilitating code reviews and providing guidance to both junior and senior developers.Serve as a bridge between technical teams and non-technical stakeholders, collaborating with Product Managers to define project roadmaps while managing technical debt.Ensure the quality of our software by overseeing CI/CD pipelines, setting SLOs/SLAs, and leading post-mortem analyses during system failures.Engage directly with customers to understand their challenges and provide effective solutions.You will thrive in a fast-paced environment where agility and customer satisfaction are paramount. We embrace innovative development tools, including AI assistants, encouraging our engineers to leverage these technologies to enhance productivity and expedite project timelines. You will also have access to leading AI models and tools to integrate into your workflow.At Kestra, we believe that exceptional engineers must fully grasp the intricacies of their work, including the business context, architecture, performance, security, and quality standards. You should be adept at reviewing and refining AI-generated code, taking ownership of the entire development lifecycle from problem identification and solution design to implementation and testing.

About GigsAt Gigs, we are revolutionizing the mobile services landscape by creating a platform that seamlessly integrates global connectivity into technology products. Much like how Stripe simplifies payment processing, Gigs enables platforms to effortlessly incorporate connectivity, merging the traditional telecom world with cutting-edge technology. Our solutions empower fintech companies to launch mobile services and HR platforms to offer work phone plans, automating provisioning and alleviating telecom complexities.Our diverse team of approximately 100 talented individuals across the US and Europe is supported by nearly $100 million in funding from notable investors including Ribbit Capital, Google, and Y Combinator. As one of the fastest-growing tech companies, we are uniting early-stage engineers, product innovators, and business strategists from leading organizations like Stripe, Airbnb, and Shopify. Together, we tackle intricate technical and regulatory challenges to create truly seamless connectivity.If you are driven by a passion for discovery, creativity, and the opportunity to shape the future of telecommunications, we invite you to join our team.The RoleIn the position of Senior Data Engineer, you will take charge of the technical roadmap necessary for scaling our data platform. Your role will be pivotal in transitioning our data stack from a solid foundation to a production-grade system that fuels both internal analytics and customer-facing data products. You will collaborate closely with a team of three, operating at the nexus of engineering, product, and business.Our data platform utilizes modern tools including BigQuery, dbt, Dagster, Fivetran, and Lightdash. We have established robust fundamentals, with over 600 dbt models, customer data exports, and an emerging Insights API supported by Lightdash and Dagster. Your focus will be on productionizing data sharing, enhancing loading and pre-processing capabilities, and enabling scalability to accommodate increasing data volumes.This position is ideal for someone with prior experience in building data platforms, who understands the essence of a

Join our team as a Lead .NET Engineer with a focus on Terraform, where your expertise will drive significant cloud migration initiatives. We are seeking a seasoned professional who thrives in high-stakes environments and is proactive in enhancing our existing systems. Rather than starting from scratch, you will leverage your extensive experience to improve our migration processes and tooling, adhering to an 'own it, make it better' mindset. When you encounter a challenge, your role will involve not just identifying issues but also debugging and fortifying our systems to ensure long-term resilience.Your contributions will directly influence engineering teams across our organization, making exceptional communication skills essential. You will need to effectively bridge gaps between teams, resolve obstacles, and align stakeholders to maintain our progress.