Backend Engineer/FullStack

Job Description Full-Stack Engineer | AI/ML Start-up | Competitive Salary + EquityWe're partnering with a fast-growing technology start-up that's building intelligent, adaptive systems powered by real-time machine learning. They're looking for a talented Full-Stack Engineer to join their team and help scale their platform.About Our ClientOur client has developed a sophisticated learning engine that processes live user behavior data to optimize digital experiences. They serve a growing base of mid-market clients and are expanding their platform capabilities. The company is well-funded, technically strong, and positioned for significant growth.Why This Role Stands OutThis isn't your typical full-stack position. You'll work at the intersection of engineering and applied ML, building systems that process real-time data and deliver measurable impact. You'll have genuine ownership, ship meaningful features, and grow alongside a talented team solving complex technical challenges.The OpportunityBuild and maintain APIs and data pipelines connecting real-time behavioral data to ML systemsShip features to production that directly impact customer outcomesCollaborate with cross-functional teams across engineering, product, and dataContribute to development infrastructure including CI/CD, testing frameworks, and code qualityDebug production systems using modern observability tools (logs, metrics, traces)Increase your technical ownership and responsibilities as you develop expertiseWhat You'll NeedBachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience)1–5 years building and supporting production web applicationsStrong backend or full-stack fundamentals: APIs, databases, asynchronous processing, testingProduction experience with Python and SQLFamiliarity with Git and CI/CD workflowsExcellent problem-solving and analytical skillsInterest in applied ML or LLM-based systems (production experience is a bonus, not required)Nice to HaveExposure to LLM-driven systems (prompt management, caching, streaming)Experience with Docker; Kubernetes knowledge is a plusPassion for exploring new technologies and continuous learningCompensation & BenefitsCompetitive base salary (commensurate with experience)Meaningful equity stake in a growing start-upFull health benefits: medical, dental, vision401(k) with employer matchingRemote work stipendGenerous PTONext StepsIf you're interested in working on challenging technical problems involving real-time data, ML systems, and production-scale infrastructure, we'd love to connect. We can share more details about the company, team, and tech stack in a confidential conversation.Interested? Let's talk. Apply now or reach out directly to learn more.