Senior Founding AI EngineerMusly Club | Full stack | Founding team | Full time
Musly is a private members’ club for people with Muslim roots, built around meaningful connections and experiences - digitally and IRL.
We’re hiring a senior founding engineer to build musly club to the next level with us. You’ll work directly with our founder, fractional CTO, and another engineer. This is a hands-on role with ownership across product, full stack engineering, and AI.
What you’ll build
- * Smarter member recommendations, AI chat, concierge, travel introductions, and event recommendations.
- The data and feedback loop connecting member intake, behavior, conversations, connections, events, and real-world outcomes.
- Smarter ai chat
- Internal tools that help Musly understand member demand, city trends, emerging segments, and what is working.
- Intelligence that helps our team find the right members for events and partner
- Events tools + platform with Ai seating arrangements and invites
- experiences, then learn from invitations, attendance, and feedback.
- The APIs, data pipelines, models, evaluations, and interfaces that make these products reliable at scale.
Who you are
- * You’ve built and shipped products at an early-stage startup.
- You’re genuinely full stack and can own a feature from data model and backend through to the user experience.
- You can communicate clearly and effectively.
- You have deep hands-on experience with AI/ML and LLMs, including building production systems, evaluating their performance, and improving them with real data.
- You understand recommendations, ranking, or matching systems, or you’re ready to apply your ML experience to a network where both people need to find a connection valuable.
- You move fast, have excellent product judgment, and can turn an ambitious idea into something useful that ships.
- You’ve worked on a product available in multiple countries
- You’ve worked on a product and build for it to scale for over 500,000 users
- You want the responsibility and pace of a small founding team.
What success looks likeIn your first 90 days, you’ll help turn data Musly already collects into a working intelligence system: better member recommendations, useful member understanding, smarter event invitations, and insights our team can act on. You’ll build the feedback loop that helps each of these improve as Musly grows.
This is a chance to own a core part of Musly’s product and technical foundation as we scale the club across cities.
Technical RequirementsAI and machine learning
- * You've shipped LLM features to production and kept them working: prompt design, structured outputs, tool use, retrieval (RAG) and embeddings.
- You've worked with more than one model provider (for example OpenAI and Anthropic, directly or through AWS Bedrock) and can manage cost, latency, rate limits and fallbacks.
- You build evaluations before you trust a system: labeled eval sets, offline metrics, LLM-as-judge with human calibration, and A/B tests.
- You understand recommendation, ranking or matching systems: candidate generation, ranking, cold start and exploration. Experience with two-sided (reciprocal) matching is a strong plus.
- You can learn from implicit feedback: event data, delayed outcomes, position bias and feedback loops that reinforce their own mistakes.
- You know when an LLM is the wrong tool. You've trained and shipped classical models (for example gradient boosting or logistic regression) on tabular data.
- You can design human-in-the-loop workflows, where reviewers correct model output and those corrections improve the system.
Backend and data* Strong TypeScript and Node.js. You've built and operated Express (or similar) APIs in production.
* Deep MongoDB experience: schema design for document stores, indexing, aggregation pipelines and query performance. Experience with Atlas Vector Search or another vector store.
* Real-time systems: WebSockets or Socket.IO, and Redis for caching and pub/sub.
* Data pipelines and event tracking: you can design event schemas, run batch jobs and scheduled workloads, and build reliable data flows from product events to models.
Frontend and mobile
- * Production React experience. React Native with Expo is a strong plus; if you're a strong React engineer, we expect you to pick it up quickly.
Infrastructure and production quality
- * Hands-on with AWS (EKS, S3, Lambda, CloudFront), Docker and Kubernetes. You don't need to be an SRE, but you can deploy, debug and scale what you build.
- Experience running services across multiple regions, including latency, data consistency and deployments.
- You write tested, reviewable code and care about observability. You've been on call and handled production incidents.
Privacy and security
- * Experience handling sensitive personal data, including private messages and profile data.
- Working knowledge of GDPR.
- You design AI features with safety in mind: guardrails, moderation and limits on what data goes to third-party models.
Nice to have
- * You've built for a community, social, dating or membership product where both sides of a connection need to find it valuable.
- Experience with events or real-world experiences: invitations, capacity, seating, attendance.
- Stripe subscriptions, Twilio, OneSignal or other messaging and notification tooling.
- Next.js and Tailwind for internal tools and admin dashboards.
- Product analytics with Mixpanel or similar, including experiment design.
- Localization, time zones and data residency across countries.
- You use AI coding tools well and can set good practices for a small team.
Answer the following question in your application
- * What's something you built or fixed outside of work, even if it's small or simple?
