Posh

Compensation

Full Description

About POSH We are all social creatures, but the dominant “social” companies today have evolved into digital loneliness machines, driving isolation, anxiety, and mental health challenges across our lives. Human connection is lost. Posh is a beacon guiding us back. Posh enables anyone to become an event organizer, build a community around their followers, and bring people together in person to cultivate real-world human connections. Founded by event enthusiasts and college dropouts, we’ve built the ultimate tools for creating, marketing, and monetizing in-person communities globally. In just three years, Posh has grown to a team of 60, expanded to 5M+ users, secured $40m in venture funding, and facilitated over $220M in transactions. We've achieved more than teams ten times our size in a tenth of the time—and there's so much more to come. About the Role We’re looking for a Senior Backend Engineer to join our newly formed AI R&D pod—a small, fast-moving team dedicated to building the future of AI-native product experiences at Posh. This is a backend-focused role with a strong emphasis on systems architecture and AI implementation. You will be responsible for building the intelligent, scalable, and reliable systems that power our AI features. Your work will focus on designing and deploying sophisticated Multi-Agent Systems, moving beyond simple RAG to create truly autonomous and helpful user experiences. You’ll work closely with frontend engineers and product designers to bring cutting-edge AI tools to our platform. Expect to build robust APIs, architect data flows for evaluations and fine-tuning, and pioneer new ways to leverage AI within our existing infrastructure. This represents a unique opportunity to build the foundational backend of our AI products, with the chance to ship experimental features to a large, growing, and highly engaged user base. This is a hybrid role at our NYC office in SoHo. Why This Role Matters We believe AI will reshape how people plan and participate in real-world experiences. The companies that integrate AI directly into their product to create visible, daily value will define the next generation of consumer software. At Posh, we’re not here to build infrastructure for others. We’re here to lead our category with a product that feels intelligent, personal, and effortlessly useful. And we’re just getting started. What You’ll Do Build and Scale AI Services: Design, build, and maintain scalable backend services and APIs for AI-powered features, writing primary production code in Python. Architect Multi-Agent Systems: Move beyond standard RAG to design and implement complex, hierarchical Multi-Agent Systems that can perform sophisticated, multi-step tasks. Implement Evaluation and Fine-Tuning: Build robust frameworks to evaluate the quality of AI systems and manage fine-tuning pipelines to continuously improve model performance. Own Cloud Infrastructure with IaC: Define, deploy, and manage our AI infrastructure using Terraform. You'll be responsible for scaling our container-based serverless solutions while ensuring reliability and performance. Optimize for Efficiency: Deeply analyze the tradeoffs between model performance, latency, and cost to make pragmatic, business-aware technical decisions when using managed AI services. Integrate Across the Stack: Collaborate with our core engineering teams by occasionally working in TypeScript (Node.js) to integrate AI features into our main application. What We’re Looking For 3–6+ years of backend or full-stack engineering experience, with a proven track record of shipping high-quality, scalable systems in fast-paced environments. Deep expertise in Python and its ecosystem for web services and data processing. Strong experience with Infrastructure as Code (Terraform), a major cloud platform (e.g., GCP, AWS, Azure), and deploying containerized applications. Pragmatic AI/ML Experience: Hands-on experience using managed AI services (e.g., Vertex AI, AWS Bedrock), working with LLMs, and building advanced AI systems. Experience with model evaluation frameworks (e.g., RAGAs, LangSmith, DeepEval) and fine-tuning is highly desired. A strong ability to evaluate the tradeoffs between cost, latency, and performance is essential. Experience with open-source agentic frameworks (e.g., LangGraph, CrewAI, Strands, etc) is a strong plus. A passion for shaping 0→1 products in a lean, fast-paced R&D environment where you'll help define new playbooks for AI-native experiences. Bonus points for experience with MLOps, data engineering, or a background in consumer, marketplace, or event-driven platforms. Posh provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Posh is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. 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