Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4352683294&distance=25.0&f_AL=true&f_TPR=r166400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=200 Job Description: Senior AI Engineer (YC Startup) – Product-Focused & Client-Facing TEN-XER · United States (Remote) Easy Apply Save Save Senior AI Engineer (YC Startup) – Product-Focused & Client-Facing at TEN-XER Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Hassaan Ahmed 3rd Recruiter @ Ten-Xer | Building Funnels That Scale | Outcome-Based Hiring Job poster Message About the job About the Company At Ten-Xer, we match people to roles where they can actually build and grow. We partner with startups that want operators, not passengers, and help them hire talent who move fast and deliver outcomes. Our Client Arist’s mission began with a simple yet radical idea: deliver entrepreneurship education to high school students in the Yemeni conflict zone using text messages—because almost no one had internet or laptops, but nearly everyone had access to SMS. From that origin, Arist has evolved into a full-stack, AI-powered enablement platform designed to help enterprises deliver microlearning, training, nudges, surveys, and communications directly in the flow of work—through SMS, Slack, Microsoft Teams, WhatsApp, email, and more. This “push-based” model bypasses traditional LMSs and meets employees where attention already lives. Arist’s strategic vision is ambitious: to become the essential push layer of enterprise enablement—bridging the gap between intent and action, powered by AI agents that handle need analysis, content creation, delivery, and analytics across global teams. About the Role As a Senior AI Engineer, you’ll play a foundational role in shaping Arist’s next generation of AI-driven products. This is not a purely heads-down engineering role — in addition to designing and shipping advanced agentic systems, you’ll collaborate directly with product teams, founders, and users to shape product direction and turn feedback into production-grade technical solutions. Your work will bridge deep technical execution with thoughtful communication and iteration. Design and implement agentic workflows powered by LLMs for real-world task execution. Build customization layers tailored to organization-specific logic and requirements. Collaborate directly with product teams, founders, and users to understand pain points, shape product direction, and iterate quickly on prototypes. Translate user and product feedback into scalable, production-grade technical solutions. Develop voice-based and message-based learning agents that drive engagement, incorporating evaluation, feedback loops, and continuous monitoring. Architect AI pipelines (RAG, prompt engineering, evaluation) and build reliable infrastructure that integrates into complex environments. Clearly communicate technical decisions to both technical and non-technical stakeholders, ensuring alignment across teams. Manage multi-agent orchestration and core AI system infrastructure. Qualifications Machine Learning Expertise 5+ years of experience in ML (PyTorch, TensorFlow). 2+ years of hands-on experience working with LLMs (Hugging Face, OpenAI, Anthropic). AI System Development Proven experience building and deploying production AI systems, including RAG and vector search. Knowledge of prompt engineering, AI safety, and content filtering best practices. Comfort architecting scalable infrastructure that integrates into complex environments. Technical Proficiency Familiarity with Rails is a plus, but not required — strong candidates can ramp up quickly. Experience working with REST APIs, PostgreSQL, ActiveRecord, and RSpec. Understanding of frameworks like LangChain or LlamaIndex, or the ability to learn them rapidly. Communication & Collaboration Proven ability to engage directly with users, customers, and cross-functional teams to gather feedback and shape technical solutions. Comfortable explaining complex concepts clearly to both technical and non-technical stakeholders. Experience collaborating with product and design teams to align on goals and iterate quickly. Strong written and verbal communication skills. Builder Mindset Thrives in ambiguity, learns quickly, and iterates fast in lean environments. Excited to work in a small, high-impact team where communication and ownership are key. Ideal Candidate Profile Innovative Builder — Designs and optimizes sophisticated AI workflows that solve real enterprise challenges, from ideation to deployment. Product-Minded Communicator — Excels at working directly with users, clients, and cross-functional teams to gather feedback and translate it into scalable technical solutions. Comfortable navigating both technical deep dives and high-level product conversations. Technically Excellent — Brings strong expertise in Rails (REST APIs, PostgreSQL, ActiveRecord, RSpec) and hands-on experience deploying scalable AI systems using modern frameworks and infrastructure. Collaborative and Fast-Moving — Thrives in ambiguity, learns new frameworks (LangChain, LlamaIndex, etc.) quickly, and delivers results at startup speed. Works seamlessly with founders, engineers, and product teams to iterate rapidly.