Senior / Staff Software Engineer, AI Platform

Senior / Staff AI Platform EngineerIs your CV ready If so, and you are confident this is the role for you, make sure to apply asap.About the CompanyOur client is building one of the largest AI-powered productivity platforms in the world.Millions of users rely on the platform every day to manage projects, collaborate with teams, organize information, automate workflows, and execute work across their organizations.The company is making a significant investment in AI and is rapidly evolving from a traditional SaaS platform into an AI-native product experience where assistants, agents, automation, and intelligent workflows become a core part of how work gets done.This is not an early-stage experiment or innovation lab. These systems are live, customer-facing, and operating at meaningful scale.The engineering organization moves quickly, values ownership, and expects engineers to build solutions that solve real user problems in production environments.About the RoleThis is a software engineering role focused on building AI-native products and the systems that power them.We are looking for engineers who have successfully built and shipped production AI systems, agentic workflows, AI copilots, orchestration layers, and intelligent product experiences that real users rely on every day.This is not a machine learning research role.This is not a data science role.This is not a prompt engineering role.The ideal candidate is a strong backend or platform engineer who has evolved into building sophisticated AI systems and understands the challenges of operating those systems reliably at scale.You will help design and build the infrastructure, orchestration frameworks, agent systems, evaluation layers, and platform capabilities that power AI experiences across the product.What You Will DoDesign and build production AI systems used by millions of usersDevelop agentic workflows that can reason, plan, retrieve context, call tools, and execute multi-step tasksBuild orchestration layers that coordinate agents, models, tools, memory, and workflowsDesign and evolve AI platform services that support AI-powered product experiencesBuild retrieval and context management systems that improve AI accuracy and effectivenessCreate evaluation frameworks that measure quality, reliability, and user outcomesOptimize AI systems for latency, cost, scalability, and performanceImprove observability, monitoring, and reliability across AI infrastructurePartner with product and engineering teams to bring AI capabilities directly into customer workflowsOwn systems from design through production deployment and ongoing iterationWhat We Are Looking For5+ years of professional software engineering experienceStrong backend, platform, or distributed systems engineering backgroundExperience building and shipping production AI-powered products used by real customersExperience with agentic systems, AI copilots, orchestration frameworks, tool-calling architectures, or multi-step AI workflowsStrong systems design and architecture skillsExperience designing reliable, scalable backend systemsStrong understanding of APIs, asynchronous processing, distributed systems, and cloud infrastructureExperience working with OpenAI, Anthropic, Gemini, or similar LLM providers in production environmentsAbility to operate independently and own complex technical problems from concept through deploymentWhat Makes Someone Stand OutBuilt production AI agents that perform meaningful work rather than simple chat interactionsDesigned systems that manage memory, context, planning, tool usage, and long-running workflowsBuilt AI-powered product experiences used by large customer basesDeveloped evaluation, monitoring, and reliability frameworks for AI systemsExperience balancing latency, cost, reliability, and model quality in productionStrong product mindset and ability to connect technical decisions to user outcomesNice To HaveExperience building multi-agent systemsExperience with LangGraph, DSPy, AutoGen, CrewAI, Semantic Kernel, or similar frameworksExperience with retrieval systems, vector databases, and context managementExperience with AI infrastructure, orchestration platforms, or internal developer toolingExperience working in high-growth SaaS environmentsStaff-level engineering experience or scopeThis Role Is Not A Fit IfYour background is primarily machine learning research or academic AIYour experience is focused on model training rather than software engineeringMost of your AI work has been experimentation, notebooks, prototypes, or proofs of conceptYou have not owned production AI systems used by customersYour experience is primarily prompt engineering without deeper systems ownershipYou prefer research environments over product development and executionCompensation & Benefits$180,000-$275,000 Base SalaryCompetitive Equity Package401(k)Health, Dental, and Vision CoverageFlexible PTOPaid Parental LeaveProfessional Development SupportWhy This Role MattersAI is becoming a foundational layer of the product. The systems built by this team will directly influence how millions of users retrieve information, automate work, interact with software, and execute complex tasks.This is an opportunity to help define what AI-native productivity software looks like at scale. xhyhwjd If you're excited about building intelligent systems that operate in the real world, solve meaningful user problems, and power experiences used by millions of people, this role offers the opportunity to have a lasting impact on the future of work. satoriq