Director, Legal Counsel, Capital Markets

🏢 Summary: Legal leadership role focused on capital markets and securities transactions for a fast-growing AI infrastructure company. The position leads equity and debt offerings, Rule 144A transactions, governance support, and regulatory compliance while partnering closely with finance and corporate teams. The role also supports cross-functional legal advisory work in a dynamic in-house environment. 🗂️ Requirements: JD from accredited law school, Active membership in at least one U.S. state bar, 4-7 years of corporate and securities experience, Experience in capital markets and securities transactions, Experience leading public and private capital markets offerings, Knowledge of corporate governance, Knowledge of securities reporting and regulatory compliance, Ability to manage complex corporate and transactional matters, Strong analytical and problem-solving skills, Ability to manage multiple projects in fast-paced environment, Proficiency with Google Workspace, Proficiency with Microsoft Office, Proficiency with AI tools 📃 Skills: Rule144A, Securities, CapitalMarkets, CorporateGovernance, RegulatoryCompliance, GoogleWorkspace, MicrosoftOffice, Claude, Gemini, KYC 🏢 Description: Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role Crusoe is seeking a talented and motivated attorney to join our Legal team as Director, Legal Counsel, Capital Markets. This role is essential for building a best-in-class corporate legal function to support Crusoe's rapid growth, capital-raising activity, and increasing complexity. Reporting to the VP & Assistant General Counsel, Securities, you will be the primary legal point of contact for Crusoe's capital markets and financing activity — leading equity and debt security transactions from diligence through closing, including Rule 144A and other private placements. This position offers a unique opportunity to have a direct impact on our company's trajectory, helping to support the financing required for the next stages of our growth. This role works in close partnership with our Director, Legal Counsel, Corporate & Securities. The two positions are designed to provide seamless cross-coverage for one another across the full corporate and securities mandate, and the ideal candidate is comfortable stepping into governance and regulatory matters when needed. The ideal candidate is a detail-oriented and pragmatic legal professional with significant law firm training and a desire to apply their expertise in a dynamic, in-house environment. Capital Markets (Primary Focus) - Lead legal execution of primary and secondary capital markets transactions — including equity offerings, debt security offerings, convertible instruments, and private placements — from initial diligence through negotiation, signing, and closing. - Manage Rule 144A offerings, including reviewing offering memoranda, purchase agreements, indentures, and related transaction documents, and coordinating with initial purchasers, trustees, and rating agencies. - Manage the completion of disclosure schedules, ancillary documents and KYC requests; coordinate document flow with investors, banks, and outside counsel. - Work with finance team to oversee post-closing matters and ensure ongoing compliance with covenants, obligations, and reporting requirements. - Partner with the real estate and debt finance legal teams on project financings, coordinating on diligence, financing structure, offering documentation and related transaction documents. - Maintain organized internal deal files and corporate records. Develop standardized templates, checklists, and playbooks to improve team efficiency and transaction consistency. Governance & Regulatory Compliance (Cross-Coverage) - Provide backup and surge support to the Corporate & Securities function, including preparing Board and committee materials (agendas, presentations, minutes, and resolutions). - Assist with stockholder consents and notices, and advise on company governing and investor documents (charter, bylaws, voting agreements, investor rights agreements, and rights of first refusal). - Support securities-related disclosures and periodic or event-driven investor reporting, and advise on policies and equity transaction reporting as needed. Cross-Functional Partnership - Serve as a key legal advisor on corporate and securities matters to partners across the company, including Finance, Accounting, Investor Relations, and HR. - Translate complex legal and regulatory requirements into clear, practical guidance for business stakeholders. What You'll Bring - Juris Doctor (JD) from an accredited law school and active membership in good standing in at least one U.S. state bar. - A minimum of 4-7 years of corporate and securities experience at a top-tier law firm, with a primary concentration in capital markets and securities transactions. - Hands-on experience leading or playing a substantial role in public and private capital markets offerings. - Working knowledge of corporate governance, securities reporting, and regulatory compliance. - Proven track record of advising companies on complex corporate and transactional matters. - Exceptional attention to detail with strong analytical and problem-solving skills. - Excellent business judgment and strong communication skills, with the ability to effectively advise and influence stakeholders at all levels. - Demonstrated ability to handle sensitive and confidential information with extreme professionalism. - A proactive, team-oriented mindset with the ability to manage multiple projects in a fast-paced environment. - Proficiency with Google Workspace, Microsoft Office, and AI tools (Claude, Gemini). - In-house experience at a technology or high-growth company is a plus. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $235,000 - $275,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

🏢 Summary: Engineering leadership role to build and scale an AI Labs team developing autonomous AI agents for enterprise commerce. Responsible for defining the architecture, shipping production-grade agentic AI systems, and driving AI-assisted development at startup speed within a pre-IPO environment. The role combines hands-on technical direction with ownership of infrastructure, quality, and engineering execution. 🗂️ Requirements: Proven experience building and scaling high-performing engineering teams, Hands-on expertise in software architecture and system design, Experience shipping AI or LLM-based products to production, Deep knowledge of LLM orchestration and agent architectures, Experience with AI-assisted development tools in engineering workflows, Ownership of infrastructure efficiency, reliability, and product quality metrics, Ability to operate at startup pace with rapid release cycles, Onsite presence in Mountain View, CA 📃 Skills: LLMs, GPT-4, Claude, AgenticAI, Architecture, Orchestration, AIDevelopment, Cursor, OpenSource, Infrastructure, DistributedSystems 🏢 Description: CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.The Problem: We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. What You'll Do: Build the Future of Commerce AI Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away. Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this. Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence. Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events. Build the Team Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop. Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company. Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average. Own Engineering Execution Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them. Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter. What You'll Bring: This is not a caretaker role. We need a builder. Here is what matters: You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point. You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not. You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact. You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast. You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal. You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face. Compensation and Benefits: Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience. Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership. Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus. Why Join Now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

🏢 Summary: Cybersecurity / SRE role focused on securing and maintaining the reliability of a large-scale fintech platform operating in hybrid cloud environments. The position emphasizes Kubernetes and container security, SIEM management, CI/CD protection, and automation using Python and infrastructure-as-code tools. Candidates will work on mission-critical distributed systems, ensuring regulatory compliance and resilient security operations at scale. 🗂️ Requirements: Experience securing hybrid AWS/on-premises environments, Strong proficiency in Python, Strong proficiency in Terraform, Strong proficiency in Puppet, Deep expertise in Kubernetes, Experience with container security, Hands-on experience with GitHub Actions, Experience with Prometheus, Experience with Grafana, Experience with CloudWatch, Experience with Karma, Experience managing and integrating Wazuh, Experience with security scanning tools (Semgrep, Trivy, Falco), Experience with IAM and security posture management, Ability to comply with PCI and NIST CSF standards, Located in SF Bay Area or willing to relocate 📃 Skills: AWS, IAM, Python, Terraform, Puppet, Kubernetes, Docker, GitHub, Prometheus, Grafana, CloudWatch, Karma, Wazuh, Semgrep, Trivy, Falco, PCI, NIST, CI/CD 🏢 Description: ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Cybersecurity / SRE team is focused on ensuring the security and reliability of X Money. This role will primarily focus on the X Money platform but will also cross over with the X Social platform. The ideal candidate will have experience in the banking, money transmission, and P2P payments industry. We emphasize working with large distributed systems and security platforms at scale, with an automation-first mindset. You'll be responsible for securing and maintaining the reliability of X Money's infrastructure. You'll work closely with cross-functional teams to enhance security measures, improve system resilience, and implement best practices. RESPONSIBILITIES: - Build and secure mission-critical applications in a hybrid cloud environment. - Manage identities and roles effectively. - Monitor and remediate infrastructure to comply with regulations and best practices (e.g., PCI, NIST CSF). - Maintain a SIEM and all data pipelines needed for reliable alerting. - Design and implement secure container standards and automation to enable frictionless developer workflows. - Maintain Kubernetes security aligned with current best practices. - Build, deploy, and maintain security operations infrastructure using Python, Terraform, and Puppet. - Secure and enhance CI/CD pipelines. - Integrate and maintain code scanning platforms. - Develop dashboards and alerts from security metrics. - Own security projects: identify issues and implement solutions. - Apply critical analysis and problem-solving skills. BASIC QUALIFICATIONS: - Proven experience securing hybrid AWS/on-premises environments, including IAM and overall security posture. - Strong proficiency in Python, Terraform, and Puppet. - Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar preferred. - Deep expertise in Kubernetes and container security. - Hands-on expertise building GitHub Actions and workflows. - Extensive experience with Prometheus, Grafana, CloudWatch, and Karma. - Well versed in management and integrations of Wazuh. - Hands-on experience with security scanning tools (Semgrep, Trivy, Falco). - Proactive mindset with strong ownership and problem-solving skills. - Excellent critical thinking and analytical abilities. - Located in the SF Bay Area or willing to relocate. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Founding Engineer role focused on building and deploying real-time speech-to-text systems for military and emergency units operating in constrained environments. You will work closely with founders to design and implement low-latency Voice AI solutions in Python, owning projects end-to-end in high-stakes, resource-limited conditions. The position offers significant ownership, equity, and the opportunity to deliver production systems used directly in the field. 🗂️ Requirements: Experience implementing Voice AI systems in compute-, connectivity-, or latency-constrained environments, Experience with audio processing and real-time, low-latency systems, Strong Python programming skills, Ability to build and ship production systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, Speech-to-text, Audio, Real-time, Low-latency, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Founding engineer role focused on building and deploying bespoke real-time speech-to-text systems for military and emergency units operating in constrained, high-stakes environments. The position involves evolving the early technical stack and delivering low-latency Voice AI solutions in Python that are used directly in the field. You will own end-to-end development in a fast-moving, early-stage setting with real operational impact. 🗂️ Requirements: Experience implementing Voice AI systems in compute- or latency-constrained environments, Strong experience with real-time audio processing systems, Proficiency in Python for production systems, Experience building low-latency systems, Ability to design and ship systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, SpeechToText, AudioProcessing, RealTimeSystems, LowLatency, MachineLearning, SignalProcessing 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Tech Leader role focused on building and scaling large-scale recommendation systems that power personalized content discovery for millions of users. The position combines technical leadership with hands-on work in designing, prototyping, and deploying machine learning models into production. You will drive the roadmap, bridge research with real-world systems, and ensure performance, scalability, and reliability of the recommendations platform. 🗂️ Requirements: Experience building recommender systems, Strong foundation in computer science and applied mathematics (statistics, optimization, algorithms), Proven experience translating research into production systems, Proficiency in Python, Experience with ML libraries, Experience leading engineering and research teams, Experience in fast-paced startup environments, Fluent communication skills in Polish and English 📃 Skills: Python, MachineLearning, RecommenderSystems, Statistics, Optimization, Algorithms, DistributedSystems, AI, Data, Blockchain 🏢 Description: Tech Leader - Recommendation Systems / Personalization Unicorn Foundations: At Cosmose AI, we’re building smart, innovative technology that’s redefining digital marketing and content distribution. Since launching in 2014, we’ve gone from transforming offline shopping to powering personalized content experiences through AI. Founded by Miron Mironiuk, our journey began with one bold idea - and it has grown into a feature that caters to what people care about most, right from their lock screens. Exceptional Engineering: Our engineering team is far from average; it's a powerhouse of talent. Comprising former FAANG employees and programming champions, they bring deep expertise and a shared commitment to building world-class products. Our strength lies in engineering solutions that leverage the power of AI, Data, and distributed computing. We thrive in a fast-paced startup environment, where agility, creativity, and quality drive everything we do. Global Presence, Local Innovation: Cosmose AI is a global company with a presence in 8 countries, transforming content engagement through cutting-edge technology. Our flagship product, KAIKAI Lock Screen, delivers AI-powered, personalized content to users worldwide, unlocking new and exciting opportunities for product placement We’re looking for a Tech Leader to guide an established team focused on building and evolving large-scale recommendation systems that power content discovery for millions of users. In this role, you’ll drive the technical direction of our recommendations platform, leveraging machine learning where it adds the most impact while ensuring ideas translate into robust, production-ready systems. You’ll partner closely with engineers, data scientists, and product teams to continuously improve relevance, personalization, and user experience. TL;DR Why us: Big Scale & Startup Culture: Join a company that combines the scale of a major player with the agility and innovation of a startup Exceptional Team: Collaborate with a team of former employees from tech giants like Google, Facebook, ByteDance, and Microsoft, as well as ACM ICPC programming champions Stock Options: As we grow and succeed together, you'll have the chance to benefit from it Flat Structure: Enjoy a flat organizational structure that promotes collaboration and provides opportunities to learn from seasoned technical leadership Challenging Engineering Problems: Tackle challenging engineering problems in areas of high-performance computing, distributed systems, blockchain, and AI/ML What You’ll Do: Lead the recommendations team - define the mission, guide the roadmap, and support day-to-day execution. Work with the team t o design, prototype, and deploy ML models that drive content personalization. Collaborate with product, engineering, and data teams to identify impactful research directions that solve real user problems. Turn research into production-ready solutions, balancing innovation with performance, reliability, and scalability. Mentor and grow engineers, fostering a learning culture within the team. Contribute to hiring and shaping the team, bringing in top talent, and helping them succeed. Stay up-to-date with the latest in ML research and tech, and bring those insights to our systems and strategies. What You’ll Need: Experience in building recommender systems. Solid foundation in computer science and applied mathematics, including statistics, optimization, and algorithms. A track record of bridging research and production - from academic ideas to real-world systems. Proficiency in Python, and working knowledge of ML libraries Experience in leading engineering and research teams Experience in a fast-paced, startup environment, balancing speed, pragmatism, and quality Clear and effective communication within the team (Polish and English are required) What you’ll enjoy: Cosmose provides employees with a great platform to immerse and learn about the most exciting, innovative, and disruptive technologies in offline behavior solutions, unveiling untapped opportunities and profits in the industry. The company constantly innovates to invent and apply world-class technologies with a rockstar engineering team, including four world championship programming medalists. You’ll be working with a strong leadership team backed by experience from various key strategic areas and many other driven & intelligent people across the company. Cosmose is a place where great culture and goals unite departments and individuals to achieve big milestones together. We’re building something big, and we’re just getting started! If you’re excited about shaping the future of AI-powered mobile content, we’d love to meet you. 👉 Be part of the Cosmose story. Apply now!

🏢 Summary: Opportunity to join a newly formed, globally distributed team building an AI-powered internal developer platform for a large-scale engineering organization. The role focuses on designing and integrating LLM-based tools and agent systems that enhance coding, testing, and deployment workflows. You will help architect and implement core AI infrastructure and integrations within a greenfield, startup-like environment. 🗂️ Requirements: Hands-on experience integrating or building with LLMs, AI agents, or coding assistants, Strong experience in Scala or another modern JVM language (Kotlin or Java 17+), Proven polyglot programming ability, Experience designing and implementing API integrations, Ability to collaborate in a distributed team across time zones, Professional English communication skills 📃 Skills: Python, TypeScript, Scala, Java, Kotlin, LLM, OpenAI, Anthropic, API, AWS, GRPC, MySQL, GitHub, Slack, Docker, Kubernetes, GCP, CI/CD 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains. Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview. Strong, hands-on experience in at least one of the following: Scala, or another modern JVM language (e.g., Kotlin, Java 17+). A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment. Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone. Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows. Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS). Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!

🏢 Summary: Founding engineer role in a greenfield, AI-driven internal platform aimed at revolutionizing developer experience at scale through LLM-powered tools and agent-based systems. The position focuses on designing and integrating AI capabilities into daily development workflows across a large, globally distributed organization. You will collaborate internationally to build core infrastructure and intelligent automation supporting coding, testing, and deployment processes. 🗂️ Requirements: Hands-on experience building or integrating LLMs, AI agents, or coding assistants, Strong experience in Scala or another modern JVM language, Proven polyglot programming ability, Experience designing and implementing API integrations, Ability to build and maintain backend infrastructure, Fluent English for technical collaboration, Availability for collaboration with US West Coast time zone 📃 Skills: Python, TypeScript, Scala, Java, Kotlin, LLM, OpenAI, Anthropic, API, AWS, GRPC, MySQL, GitHub, Slack, Docker, Kubernetes, GCP, CI/CD 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains. Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview. Strong, hands-on experience in at least one of the following: Scala, or another modern JVM language (e.g., Kotlin, Java 17+). A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment. Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone. Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows. Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS). Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!

🏢 Summary: Founding engineer role in a greenfield, AI-driven initiative to build an intelligent internal platform that enhances developer experience across coding, debugging, testing, and deployment. The position focuses on designing and integrating LLM-powered agents and infrastructure within a large-scale engineering environment. You will collaborate in a globally distributed team to deliver AI tools embedded into everyday developer workflows. 🗂️ Requirements: Strong hands-on experience in Python, Proven experience integrating or building with LLMs, AI agents, or coding assistants, Ability to design and implement API integrations, Experience building distributed or backend systems, Ability to integrate systems with developer tools and services, Proficiency in English for technical collaboration across time zones, Polyglot programming skills and ability to learn new technologies quickly 📃 Skills: Python, TypeScript, Scala, Java, LLMs, OpenAI, Anthropic, APIs, AWS, GRPC, MySQL, GitHub, Slack, Docker, Kubernetes, CI/CD, GCP 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains Strong, hands-on experience in Python Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS) Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!

🏢 Summary: Join a founding team building an AI-powered internal platform to enhance developer experience across a large-scale engineering organization. The role focuses on designing and integrating LLM-based agents and infrastructure into everyday developer workflows. This greenfield project offers high impact through building intelligent tools that support coding, testing, debugging, and deployment. 🗂️ Requirements: Strong hands-on experience in Python, Practical experience integrating or building with LLMs, AI agents, or coding assistants, Proven polyglot programming ability, Experience designing and implementing API integrations, Ability to collaborate with distributed international teams, Professional proficiency in English 📃 Skills: Python, TypeScript, Scala, Java, AWS, GRPC, MySQL, OpenAI, Anthropic, GitHub, Slack, Docker, Kubernetes, GCP, CI/CD 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains Strong, hands-on experience in Python Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS) Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!