Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. As a rapidly scaling Series A startup that raised $34 million in funding, we're proud to partner with globally recognized brands such as ASUS, Docker, Activision, H&R Block, and many others. Our diverse team of curious, open, and hard-working individuals is committed to cultivating a fast-paced, agile culture that values personal and professional growth. About the Role We're looking for a hands-on AI Principle Engineer to help us build the future of AI at Improvado. It’s a unique opportunity for someone excited to define the product vision based on real user needs and directly build the systems that power it. You’ll work closely with our CEO (who’s also our Chief Product Officer with a strong technical background) to drive the direction of our AI features. From high-level strategy to low-level implementation, you’ll bridge product thinking and deep engineering. You'll also help guide a small, talented team of AI engineers — mentoring, setting direction, and writing production code alongside them. What You’ll Do Co-own the AI product and technical roadmap with our CEO Serve as the link between engineering and the business: ensure the team understands not just what to build, but why it matters Design and implement key AI-powered features from the ground up Drive technical architecture decisions and ensure high code quality and reliability Write scalable, production-ready code and build intelligent agents using modern LLM frameworks Define and track success metrics — from model performance to user satisfaction and adoption What We’re Looking For A catalyst for action with a relentless drive for execution. We need a doer who thrives on speed and velocity, takes absolute ownership of outcomes, and is energized by a fast-paced environment Strong product instincts and user empathy — you think beyond models and love solving real problems Able to clearly communicate business context and product priorities to engineers — helping them build the right things, not just functional code Deep experience building AI/ML systems, ideally with LLMs in production Familiarity with the modern AI/LLM ecosystem Hands-on knowledge of prompt engineering, vector databases, orchestration tools, and model evaluation pipelines Clear communicator, comfortable leading discussions and making decisions Previous startup or fast-paced environment experience is a plus What It’s Like to Work Here At Improvado, we’re a collaborative and ambitious team that moves fast and learns even faster. We believe in: Velocity and speed of delivery Clear ownership and high trust Working on problems that matter Staying flexible while delivering high-quality work Building great things together, not in silos We work across multiple time zones, with most collaboration centered around U.S. hours. We’re remote-first but value real-time collaboration and proactive communication. What We Offer Remote-first environment Competitive compensation Paid PTO and holidays Professional development reimbursement Stock options

About JazzX AI: Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done. We believe enterprises don't scale expertise—they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option. We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries. This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes—not demos, not chatbots—JazzX AI is the place. Headquartered in Los Altos, CA. Backed by SAIGroup. About SAIGroup : SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup’s portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one. Learn more about JazzX AI: Website: https://jazzx.ai LinkedIn: https://www.linkedin.com/company/jazzx-ai Learn more about SAIGroup: Website: https://saigroup.ai About the Role We are seeking an experienced AI Engineer with deep expertise in Reinforcement Learning (RL) to join our team as a Senior Staff Architect. In this role, you will be responsible for shaping the vision, architecture, and technical execution of RL-driven AI reasoning models and systems that power next-generation enterprise AGI platform. You will lead the design, development, and optimization of cutting-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. As a senior technical leader, you will partner with cross-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high-throughput training and real-world scenarios and enterprise use cases end to end. Ultimately, your work will be critical in bridging research and production, ensuring that the latest RL advancements translate into reliable, impactful, and enterprise-ready AI solutions. Key Responsibilities Architecture & Design: Define and drive the end-to-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving. Research & Development: Apply cutting-edge RL techniques (policy optimization, model-based RL, hierarchical RL, multi-agent RL, etc) to solve complex enterprise problems. Scalability & Infrastructure: Design distributed training systems, leverage cloud-native infrastructure, and optimize for performance, reproducibility, and cost-efficiency. Leadership & Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity. Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems. Evaluation & Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback-driven improvements in deployed RL models. Compliance & Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises. Required Qualifications Preferred Qualifications PhD in Computer Science, Machine Learning, Robotics, or related field. Experience leading enterprise AI adoption and guiding organizational strategy for RL powered systems. Contributions to open-source RL frameworks or publications in top-tier conferences (NeurIPS, AISTATS, ICML, ICLR, AAAI). Background in safety, alignment, or explainability of RL agents. We offer a competitive salary ranging from USD 207,000 to USD 290,000 , along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Why Join JazzX AI - What draws people to JazzX AI is the opportunity to build something truly foundational. We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era JazzX AI brings together vision, deep technology, and purpose . This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments. If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.

About Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). By joining Fractional AI, you’re stepping onto a San Francisco, NYC, and Dubai-based team working on gen AI projects for top companies from the comfort of an engineering-first startup. About the Role Joining Fractional AI as an AI Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. What you bring to the table: What you'll do: Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working Our tech stack: We’re generally tech stack agnostic - we work in our customers’ environments and code bases. A lot, but definitely not all, of our work is in python. After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with tools like Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe,  Pinecone, ChromaDB). A day in the life: You're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline. You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities. You’ll have some solo heads down time to continuing jamming on the high priority pieces for that print. Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project. Who you'll work with: This role will collaborate closely with Eddie , our Co-Founder and CTO. You’ll work very closely with other engineers on the team -- most project teams consist of 2-5 engineers and a PM. You’ll also spend a lot of time partnering with our CEO, Chris, and Chairman, Travis . Why you should (and shouldn’t) join us We’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products. Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco, NYC, or Dubai offices means things like team lunches, quick brainstorming, and the right amount of banter. Why shouldn't you join Fractional? Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency. Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day. Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial. Our Values Overdeliver. Overuse AI. Over "engineer" the culture. Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits 🏦 Competitive Compensation Package : Attractive salary aligned with your experience and skills. 📈 401k with Matching : Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO : Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage : Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA : Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits : Make your travel to work easier and more affordable. 🏥 Life Insurance : Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities : Regular events to build camaraderie and a strong team spirit. Ready to join us?

• Build, maintain, and scale document ingestion + processing pipelines (PDFs, structured/unstructured docs) • Integrate and productionize LLM-powered workflows (extraction, classification, summarization, validation) • Improve accuracy, reliability, and cost/performance of models and pipelines • Collaborate with product and engineering to turn customer needs into shipped features • Add evaluation, monitoring, and feedback loops to continuously improve outputs