The ad says“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”
The ad says“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”
The ad says“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”
Values
The ad says“Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration”
The ad says“Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration”
The ad says“Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems”
The ad says“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”
The ad says“Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration”
The ad says“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”
The ad says“Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems”
The ad says“Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems”
The ad says“Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration”
The ad says“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”
The ad says“Experience working full stack or collaborating closely on product-facing frontend experiences”
The ad says“Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems”
The ad says“Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response”
The ad says“Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems”
The ad says“Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration”
The ad says“Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response”
The ad says“Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration”
The ad says“Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response”
The ad says“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”
The ad says“Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems”
The ad says“Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response”
The ad says“Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems”
The ad says“Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response”
The ad says“Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response”
The ad says“Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration”
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
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
Benefits
401(k)
Company equity
Health insurance
Fertility benefits
MURALvida stipend
Fully remote team
Flexible time off
Parental leave
End of Year Closure
Design thinking trainings
MURAL free forever plan
Preferred experience
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
Experience working full stack or collaborating closely on product-facing frontend experiences
Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems
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
Strong communication skills, with the ability to produce clear technical documentation and collaborate cross-functionally
Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems
Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response
