Senior / Staff Software Engineer, AI Platform

Job Description

Senior / Staff AI Platform Engineer

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About the Company

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Our client is building one of the largest AI-powered productivity platforms in the world.

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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.

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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.

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This is not an early-stage experiment or innovation lab. These systems are live, customer-facing, and operating at meaningful scale.

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The engineering organization moves quickly, values ownership, and expects engineers to build solutions that solve real user problems in production environments.

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About the Role

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This is a software engineering role focused on building AI-native products and the systems that power them.

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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.

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This is not a machine learning research role.

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This is not a data science role.

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This is not a prompt engineering role.

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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.

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You will help design and build the infrastructure, orchestration frameworks, agent systems, evaluation layers, and platform capabilities that power AI experiences across the product.

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What You Will Do

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• Design and build production AI systems used by millions of users
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• Develop agentic workflows that can reason, plan, retrieve context, call tools, and execute multi-step tasks
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• Build orchestration layers that coordinate agents, models, tools, memory, and workflows
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• Design and evolve AI platform services that support AI-powered product experiences
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• Build retrieval and context management systems that improve AI accuracy and effectiveness
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• Create evaluation frameworks that measure quality, reliability, and user outcomes
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• Optimize AI systems for latency, cost, scalability, and performance
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• Improve observability, monitoring, and reliability across AI infrastructure
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• Partner with product and engineering teams to bring AI capabilities directly into customer workflows
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• Own systems from design through production deployment and ongoing iteration
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What We Are Looking For

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• 5+ years of professional software engineering experience
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• Strong backend, platform, or distributed systems engineering background
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• Experience building and shipping production AI-powered products used by real customers
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• Experience with agentic systems, AI copilots, orchestration frameworks, tool-calling architectures, or multi-step AI workflows
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• Strong systems design and architecture skills
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• Experience designing reliable, scalable backend systems
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• Strong understanding of APIs, asynchronous processing, distributed systems, and cloud infrastructure
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• Experience working with OpenAI, Anthropic, Gemini, or similar LLM providers in production environments
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• Ability to operate independently and own complex technical problems from concept through deployment
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What Makes Someone Stand Out

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• Built production AI agents that perform meaningful work rather than simple chat interactions
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• Designed systems that manage memory, context, planning, tool usage, and long-running workflows
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• Built AI-powered product experiences used by large customer bases
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• Developed evaluation, monitoring, and reliability frameworks for AI systems
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• Experience balancing latency, cost, reliability, and model quality in production
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• Strong product mindset and ability to connect technical decisions to user outcomes
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Nice To Have

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• Experience building multi-agent systems
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• Experience with LangGraph, DSPy, AutoGen, CrewAI, Semantic Kernel, or similar frameworks
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• Experience with retrieval systems, vector databases, and context management
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• Experience with AI infrastructure, orchestration platforms, or internal developer tooling
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• Experience working in high-growth SaaS environments
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• Staff-level engineering experience or scope
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This Role Is Not A Fit If

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• Your background is primarily machine learning research or academic AI
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• Your experience is focused on model training rather than software engineering
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• Most of your AI work has been experimentation, notebooks, prototypes, or proofs of concept
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• You have not owned production AI systems used by customers
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• Your experience is primarily prompt engineering without deeper systems ownership
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• You prefer research environments over product development and execution
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Compensation & Benefits

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• $180,000-$275,000 Base Salary
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• Competitive Equity Package
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• 401(k)
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• Health, Dental, and Vision Coverage
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• Flexible PTO
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• Paid Parental Leave
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• Professional Development Support
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Why This Role Matters

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AI 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.

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This is an opportunity to help define what AI-native productivity software looks like at scale.

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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.