Job description

ABOUT THE TEAM The AI Foundations Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually. YOUR MISSION You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences. Rather than building isolated AI features, you’ll work on the core backend systems that power Mural’s agent platform, including agent orchestration, durable execution, contextual memory, tool integration, observability, and evaluation. Your work will enable intelligent agents to reason over product context, act on behalf of users, and operate reliably and safely at scale. Our stack at Mural includes Azure OpenAI, React, Node, MongoDB. WHAT YOU'LL DO - Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure - Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users - Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management - Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation - Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value - Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy - Champion engineering excellence, mentoring others and establishing best practices for building reliable AI systems - Contribute to team growth through hiring, process improvements, and fostering a culture of curiosity, collaboration, and inclusivity WHAT YOU'LL BRING - 7+ years of software engineering experience, with strong expertise designing, building, and operating reliable production systems, scalable services and APIs, and well-defined system architectures - Experience designing and operating distributed systems for complex workflows, including orchestration, asynchronous processing, job execution, retries, event-driven architectures, long-running processes, and failure recovery - Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration - Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response - Strong communication skills, with the ability to produce clear technical documentation and collaborate cross-functionally - Experience working full stack or collaborating closely on product-facing frontend experiences - Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems - Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems OUR STACK Azure OpenAI, React, Node, MongoDB EQUAL OPPORTUNITY We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Requirements

Must-haves

You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences.
Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure
Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users
Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management
Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation
Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value
Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy
Champion engineering excellence, mentoring others and establishing best practices for building reliable AI systems
Contribute to team growth through hiring, process improvements, and fostering a culture of curiosity, collaboration, and inclusivity
7+ years of software engineering experience, with strong expertise designing, building, and operating reliable production systems, scalable services and APIs, and well-defined system architectures
Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration
Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response
Strong communication skills, with the ability to produce clear technical documentation and collaborate cross-functionally
Experience working full stack or collaborating closely on product-facing frontend experiences
Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems
Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems
Azure OpenAI, React, Node, MongoDB

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiazurereactllmml

Platform: ashby
Effort: quick