Usersnap is building AI-driven capabilities into the core of the product, from automated setup to intelligent surveys, contextual analysis, and reporting that generates itself based on connectors. We're looking for a hands-on Senior AI engineer who designs and ships AI-powered features end-to-end, working closely with fellow engineers to bring these capabilities to production quality.This is an IC role with real technical ownership. You'll be trusted to make architecture decisions within your area, not just execute someone else's spec, and to spot problems and propose solutions before anyone has to ask. AI capability is becoming core to Usersnap's product and go-to-market, and you'll be one of two engineers making sure it actually ships reliably and at production quality.Your immediate impact in the first 3-6 months will be:You'll have shipped at least one AI-powered feature to production, end-to-end, from prototype through launchYou'll have established technical patterns for AI feature development that the rest of the team can reuseYou'll have built a strong working rhythm with the rest of the Engineering Team and ProductYou'll be recognized as a reliable owner of ambiguous, technically complex workYour responsibilitiesDesign, build, and ship AI-powered features across the product, from prototyping through production qualityWork hands-on with LLMs, embeddings, and related AI tooling to solve real product problems, not just experiment with themOwn technical decisions for your features: architecture, model selection and integration approach, and the tradeoffs between quality, cost, and latencyBuild across the stack as needed. This is a fullstack AI dev role, not siloed to backend or frontend, and every feature you ship should be tested, monitored, and maintainableHelp establish good practices for AI feature development as our AI surface area grows, and flag technical risks early, especially around AI reliability, cost, and edge-case behaviorPartner closely with the Senior Engineering Manager on technical planning and sequencing, with Product on requirements (pushing back with technical reality when needed), and with the rest of the engineering team on shared architecture and standardsWhat You bring to the table7+ years of software engineering experience, you've shipped AI features to production and owned the lifecycle from problem framing to post-launch iteration, not just prototypes or AI-assisted codingStrong fullstack fundamentals; comfortable across frontend, backend, and infrastructure as neededPractical experience with LLM APIs, prompt engineering, RAG, or similar techniques in live systems, with good judgment about when AI is the right tool and when it isn'tEvaluation mindset, you define success metrics, design experiments, run offline and online evaluations, and make decisions from the resultsData competence, solid SQL, basic schema design, the ability to build simple pipelines, and a willingness to get your hands dirty with data through analysis and explorationProduction readiness, Docker fluency, CI/CD awareness, logging and monitoring basics, and good habits for versioning prompts, models, and datasetsLLM platform breadth, experience integrating multiple LLM providers, working with vector databases, and using LangChain (or similar); comfortable fine-tuning when it truly makes senseA track record of proactive problem framing, identifying problems and proposing solutions on your own, rather than waiting to be told exactly what to buildCompliance or security experience, or a strong interest in it, is a genuine plus as we move upmarketComfortable in a lean team where you own outcomes, not just ticketsWhat's in it for YouUltimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like.Freedom and autonomy: We're a high-trust team, and you'll be given lots of flexibility to solve problems in your own way — with plenty of help from the team when you need it.Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable.Small & friendly team: We help each other out, have fun, and joke around.Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally.Flexible time off: We want you to recharge your batteries when needed.[Usersnap](https://usersnap.com/) is part of saas.group and we have a shared goal of succeeding together.What is saas.group?Think of us as the driving catalyst behind your favorite software success stories. saas.group, established in 2017, is on a mission to turbocharge promising B2B SaaS ventures, unlocking their full potential. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. With a dynamic, fully remote team of nearly 380+ colleagues spanning 50+ countries we are truly global and we are rewriting the playbook on SaaS innovation and collaboration. We grow 25 exciting brands under our umbrella.Also, don’t forget to follow saas.group on LinkedIn to stay up-to-date on our job openings, podcast episodes, and with all things happening at our company.We believe in fair and transparent pay. Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview - so you have everything you need to evaluate the opportunity.
4 days ago