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 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 upon by Fortune 100 companies, we unlock immense value for businesses, empowering them with predictive capabilities.In this role, you will tackle unique technical challenges in developing foundational models and create technology that reshapes decision-making processes for some of the largest companies globally. This is a rare opportunity to contribute to a groundbreaking organization from its inception. Join us in defining the future of enterprise AI.About the RoleParticipate in the development and enhancement of a large neural network-based tabular model using Python.Analyze training and inference pipelines to detect performance bottlenecks.Refactor essential components in C++ (utilizing PyBind11 or custom extensions) where Python's limitations arise.Enhance memory efficiency, latency, and throughput throughout model pipelines.Ensure model correctness, numerical stability, and reproducibility as it evolves.Collaborate with machine learning researchers to integrate new functionalities into production.Maintain clear abstractions, robust tests, and thorough documentation.Contribute to architectural decisions for our machine learning systems managing tabular data.QualificationsSolid grounding in software engineering principles with advanced skills in Python and C++.Practical experience in bridging Python and C++ (PyBind11, Cython, or custom extensions).Experience in developing and maintaining machine learning models in a production environment.Deep understanding of neural networks.Proven ability to optimize performance-critical code.Strong skills in profiling and debugging (CPU, memory, latency).Preferred QualificationsFamiliarity with tabular machine learning techniques (transformers, tree/NN hybrids, learned embeddings).Understanding of PyTorch internals and model optimization techniques.

Role Overview onhires is looking for an AI Product Engineer to help shape and build AI-driven products. This remote role is open to candidates based in Europe. What You Will Do Work with teams across disciplines to design and implement AI solutions Apply artificial intelligence methods to improve product features and user experience Optimize AI-driven systems to align with user needs and business goals Location Remote within Europe

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 SmartcatAt Smartcat, we are pioneering a new era of work, merging human expertise with digital teammates to achieve unprecedented productivity gains for top-tier enterprises.We stand at the forefront of the groundbreaking category known as Agentic AI, empowering organizations to create high-performing hybrid teams comprising both humans and AI agents. These AI agents are not generic assistants; they are fully trained digital partners that quickly adapt to your best practices, content, and business strategy, ready to contribute from day one.Our innovative platform integrates generative AI, human-in-the-loop workflows, and a dynamic Enterprise Skill Graph that continuously evolves and enhances. Whether you're launching a global product, onboarding new talent, translating educational materials, or coordinating legal teams across different regions, Smartcat transforms knowledge into actionable insights and scalable processes.With over 1,000 clients, including 20% of the Fortune 500, Smartcat is the go-to solution for businesses aiming to expand their reach instantly, accurately, and in every language. As a Series C company experiencing 130% year-over-year growth, we're rapidly scaling and seeking individuals who aspire to redefine the future of work alongside us.Join us in unlocking global potential, one human and AI team at a time.WHY YOU SHOULD JOIN OUR TEAMWe are shaping the future of software development - AI-First is the new standard. You will not just be “experimenting”; you will be delivering results swiftly and smartly. Become a part of the core team that is proving that AI-driven engineering is the path forward. If you thrive on challenges, take ownership of your outcomes, and are passionate about delivery, you will excel in our environment.MISSIONAs a Senior AI-First Developer, your mission is to produce production-quality features at a pace and scale that traditional teams cannot match. You will leverage AI throughout every phase of the development lifecycle—from requirements gathering and design to coding, testing, and deployment—setting a new standard for engineering excellence within the company.OUTCOMESDeliver high-quality, production-ready features faster than traditional teams.Develop and refine AI-first workflows that incorporate AI at all stages of development.Elevate the standards for speed, quality, and accountability in product delivery.Contribute significantly to a culture of engineering built on AI-First principles.HOW YOU’LL RAMPBy Day 30:Gain in-depth knowledge of our AWS, .NET, Python, MongoDB tech stack...

About CrackenFounded by former national security operators and leading AI researchers, Cracken stands as the pioneering Uncensored Vibe Hacking platform. Our mission is to enhance security teams and provide enterprises with proven and auditable security resilience.As we expand, we are on the lookout for a highly skilled software engineer to join us in shaping the future of cybersecurity.Key ResponsibilitiesEngage in hands-on engineering and testing of the product across various capacities.Design and maintain advanced frontend components, ensuring exceptional delivery standards.Develop scalable and secure frontend solutions for both SaaS and on-premise platforms while adhering to industry best practices and coding standards.Continuously explore and adapt to emerging technologies, staying at the forefront of frontend development.Possess a foundational understanding of AI/ML tools and frameworks, integrating AI-powered features into frontend applications, including model deployment, API integration, and real-time inference workflows.Keep abreast of developments in AI and AI Agents, providing valuable insights to the team and implementing innovations.Qualifications4+ years of experience in developing user-facing products and design systems.5+ years of experience in Python (candidates with less experience but a quick learning ability and adaptability to a startup environment will also be considered).Strong proficiency in ReactJS, JavaScript, CSS, and HTML.Ability to translate product ideas and design concepts into high-quality code.In-depth understanding of design patterns, usability, accessibility, and responsiveness.Capability to manage UI/UX from concept through to implementation.Experience with Generative AI Agents is a significant advantage, particularly:Implementation of Generative AI Agents using Langchain, Haystack, and similar frameworks.Implementation of RAG utilizing LlamaIndex and other advanced RAG frameworks.Evaluation of AI Agent performance.Integration of AI Agents into existing systems.Preferred QualificationsMaster’s or Ph.D. in Computer Science or a related field.

About FundamentalFundamental is an innovative AI company at the forefront of transforming enterprise decision-making. Founded by experienced alumni from DeepMind, we have created NEXUS – the world's most advanced Large Tabular Model (LTM) tailored specifically for the structured data that drives critical enterprise decisions. Supported by top-tier investors and trusted by Fortune 100 firms, Fundamental enables businesses to unlock trillions of dollars in value through predictive capabilities.Join us at Fundamental, where you will tackle groundbreaking technical challenges in foundation model development and contribute to technology that reshapes how major corporations make informed decisions. This is a unique chance to be part of a pioneering company that is setting the standard for enterprise AI.

About Lodgify Lodgify builds technology for the vacation rental industry, helping property owners and managers worldwide grow their businesses. With $30M in funding and a team of over 380 people from more than 60 countries, the company operates from Barcelona and supports a global customer base. Role Overview: Director of AI Enablement The Director of AI Enablement will report to the Chief Growth Officer and lead the Growth Enablement Squad. This cross-functional group includes product managers, engineers, data analysts, and UX specialists. The team's mission is to design and maintain the infrastructure and integrations that help marketing, sales, and partnership teams work more effectively. This leadership role focuses on building and scaling the systems and frameworks that allow every team to experiment and grow. Rather than providing training or enforcing governance, the Director will architect solutions, manage complex infrastructure, and guide the team to embed AI enablement across the organization. The aim is to equip every department with tools and platforms that remove technical barriers, reduce technical debt, and raise the baseline for experimentation. The Director will not execute AI tasks for other teams, but will create the foundation that lets those teams innovate and drive continuous growth.

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 everai as a Junior/Mid AI Compliance Specialist and play a pivotal role in ensuring our AI solutions adhere to regulatory standards and ethical guidelines. You will be responsible for analyzing compliance frameworks, conducting audits, and collaborating with cross-functional teams to implement best practices in AI development.

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 Featherless.aiAt Featherless.ai, we are pioneering the most dependable open-model inference platform, serving as a serverless foundation that enables seamless deployment and scaling of AI while eliminating infrastructure overhead.Supported by esteemed investors such as Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures, our team comprises dedicated researchers and engineers committed to making AI accessible and efficient for all.Our cutting-edge cloud platform grants immediate access to over 30,000 open-source AI models, facilitating research and innovations that drive next-generation efficiency, reliability, and model optimization.About the RoleWe are in search of an accomplished Account Executive (AI Cloud) who will take ownership of deals from inception to closure, foster enduring relationships with technical buyers, and excel in the dynamic environment of a fast-paced AI startup.This role encompasses the entire sales cycle. You will be responsible for achieving quota, finalizing enterprise and scale-up agreements, and contributing to the commercial strategy of a company that's reshaping the deployment of open-source AI models. Collaborating closely with the CRO and founders, you will engage with developers, ML engineers, and CTOs, playing a pivotal role in constructing a sustainable go-to-market engine.If you are a proactive individual with a passion for technical sales, eager to work at the forefront of AI infrastructure, and desire significant impact and accountability within a pre-Series A company, this position is tailored for you.Immediate ResponsibilitiesManage and close a pipeline of enterprise, scale-up, and rapidly growing startup accounts.Oversee the entire deal process from initial contact to final contract, including discovery, demonstrations, proposals, negotiations, and closures.Establish and nurture executive-level relationships with CTOs, ML leads, and key infrastructure decision-makers.Collaborate with the CRO to formulate pricing strategies, deal structures, and growth playbooks.Work alongside BDR and DevRel to generate leads and leverage ecosystem-driven sourcing.Uphold CRM discipline and provide precise forecasts and pipeline reports.Represent Featherless.ai at industry conferences and events to create and progress deals.Core ResponsibilitiesConduct full-cycle sales across mid-market and enterprise segments.Lead impactful discovery and technical demo calls tailored to each buyer’s stack and specific use cases.

About the Project Mentis AI is recruiting Consultant Dermatologists based in Europe for a remote AI review project focused on dermatology. This work invites specialists to shape how artificial intelligence interprets real-world dermatological data, including clinical images, laboratory results, and consultation notes. What You Will Do Work closely with AI researchers to annotate, label, and evaluate dermatological data Apply clinical expertise to help fine-tune AI systems for dermatology applications Contribute insights that support accuracy, safety, and clinical relevance in AI-driven tools Role Details Fully remote position Flexible hours to accommodate clinical, academic, or research commitments Open to consultant-level dermatologists located in Europe

About the RoleJoin our Enterprise Enablement team as a Customer Engineer, where you'll act as a trusted technical advisor to our new customers. This position combines technical know-how with a dedication to education and enablement, playing a vital role in fostering developer and enterprise success within the LangChain ecosystem.In this collaborative environment characterized by a robust engineering culture, you will directly influence customer success and have the opportunity to establish best practices while engaging with innovative AI technology.About Us:At LangChain, our mission is to revolutionize the presence of intelligent agents in everyday life. We lay the groundwork for agent engineering in the real world, facilitating the transition for developers from prototypes to production-ready AI agents that teams can depend on. From our beginnings as highly utilized open-source tools, we have expanded to offer a comprehensive platform for constructing, assessing, deploying, and managing agents on a large scale.Currently, tools like LangChain, LangGraph, LangSmith, and Agent Builder are trusted by teams delivering real AI solutions across startups and large corporations. Millions of developers rely on LangChain to empower AI teams at notable companies such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised in Series B funding from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in a growth phase where we are continuously innovating new products, and every team member has the chance to make a significant impact on our development and collaboration efforts.What You'll DoLead onboarding initiatives for new enterprise customers, assisting them through initial setups and troubleshooting issues as they begin to utilize the LangSmith platform.Design and deliver engaging, interactive training workshops to equip customer teams with essential product knowledge and best practices in agent engineering.Create scalable enablement frameworks, including technical tutorials, best-practice documentation, and reference implementations.Represent the needs of new users by gathering feedback and identifying challenges to inform the product development roadmap in collaboration with Product and Engineering teams.Collaborate with Sales, Deployed Engineering, and Professional Services to establish enablement strategies for potential customers.

At Augury, our goal is to revolutionize the collaboration between people and machines, pushing the limits of human productivity. As a pioneer in Industrial AI, we empower manufacturers worldwide to harness real-time production insights, achieving unprecedented efficiency. By merging predictive and prescriptive AI technology with deep industry knowledge, production teams can proactively manage alerts, minimize downtime, lower asset costs, and enhance yield and capacity. Our clients typically see a return on investment within six months or less, enabling them to scale globally. We are eager to welcome team members who are passionate about partnering with manufacturers to shape the future of production.As a Field Engineer at Augury, you will embark on extensive travels across Europe, delivering hands-on technical and customer support that demands a unique combination of administrative, mechanical, and technical skills. Your primary objective will be to achieve exceptional customer satisfaction for both our external and internal clients by consistently providing outstanding service and support, ensuring the proper installation of Augury’s products and services. You should be located in the UK or EU and within an hour of a major airport.A Day In Your LifeTravel 75%-80% of the time throughout Europe.Engage with external and internal customers to effectively install and implement Augury’s hardware and services.Manage various administrative responsibilities, including service reports, customer action lists, inventory returns, material asset lists, Salesforce, and other project management tools.Collaborate with reliability systems managers and client partners to optimize our products.Participate in project-specific tasks such as conducting site surveys, maintenance visits, and installations.Review weekly and monthly plans to organize field activities in accordance with Field Operation guidelines.Accurately document events in the CRM platform.Address escalations from service management.

Join Synthesia as an Engineering Manager, where you will lead a talented team of engineers focused on developing innovative avatar technology. You will play a pivotal role in shaping the future of digital communication through the use of AI-generated avatars.In this position, you will oversee project timelines, ensure quality deliverables, and foster a collaborative environment that encourages creativity and technical excellence.

Join our client, a leading international online gaming company dedicated to delivering immersive and innovative gaming experiences. They leverage cutting-edge technologies to provide high-quality products and services to a diverse global audience.In this role, you will:Identify and implement AI solutions that enhance customer support, CRM, and user journeys within iGaming products.Configure and manage AI tools, including chatbots and automation flows, on platforms like Intercom.Enhance user experience through AI-driven automations.Design and optimize automation scenarios aimed at player lifecycle management, retention, and engagement.Develop and refine Slack automations (alerts, workflows, internal bots) to boost team efficiency and communication.Monitor AI and support performance metrics (CSAT, automation rates), analyze results, and continuously improve workflows.Utilize chat and product analytics to uncover friction points and propose UX/product enhancements.Assist teams in the adoption of AI tools and best practices.