Seeking a Software Engineer, AI Agents to build next-generation AI-powered decisioning systems. Responsibilities include designing production-grade AI agents, developing scalable LLM pipelines, and prototyping new AI experiences. Requires 5-12 years of backend software engineering experience, including shipping AI-powered production products and architecting AI systems.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About the Company
The hiring company is building the future of AI-powered customer engagement, enabling businesses to transform customer data into intelligent, personalized actions.
Its platform allows organizations to activate customer data across hundreds of business tools while empowering technical and non-technical users to create personalized marketing experiences using modern data infrastructure and artificial intelligence.
By combining composable customer data infrastructure, intelligent decisioning, AI agents, and automation, the company is redefining how enterprises use customer intelligence to drive engagement and business outcomes.
Backed by leading investors including Sapphire Ventures, Amplify Partners, and Y Combinator, the company has raised more than $92 million at a $1.2 billion valuation and continues to expand its AI platform through advanced agentic products.
About the Role
The company is seeking a Software Engineer, AI Agents to help build the next generation of AI-powered decisioning systems.
You will work across large language models, AI agents, backend engineering, data infrastructure, product development, and intelligent automation. You will design production-grade AI agents, develop scalable LLM pipelines, prototype new AI experiences, and turn emerging AI technologies into reliable enterprise products.
Working directly with the CTO and COO, you will have significant ownership over new AI product initiatives and influence technical architecture, AI strategy, and product direction from concept through production.
Key Responsibilities
Design and build production-ready AI agents that automate customer engagement and marketing workflows.
Prototype and rapidly iterate AI-powered product experiences using modern LLMs and AI frameworks.
Develop scalable backend systems supporting AI-powered decision-making and intelligent automation.
Build production-grade LLM pipelines capable of solving complex customer and business problems.
Create AI agents that analyze customer data, generate insights, and recommend business actions.
Collaborate directly with the CTO and COO to develop new AI product lines from concept through production.
Evaluate emerging AI models, frameworks, and methodologies to determine appropriate production architectures.
Design scalable backend services supporting AI workflows and enterprise customer data.
Build reliable distributed systems capable of supporting enterprise-scale workloads.
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Partner with Product, Engineering, and Design to create intuitive AI-assisted user experiences.
Make key technical decisions involving AI architecture, backend systems, system design, and product direction.
Improve engineering quality, scalability, performance, reliability, latency, and cost efficiency across AI products.
Required Qualifications
5–12 years of software engineering experience.
Strong backend software engineering experience.
Experience shipping AI-powered production products from concept through launch.
Experience building complex AI applications beyond simple RAG implementations.
Experience architecting production AI systems and LLM-powered applications.
Strong proficiency in TypeScript and modern backend development.
Experience designing scalable distributed backend systems.
Strong understanding of LLM architectures, prompting strategies, tool calling, and AI workflows.
Experience rapidly prototyping AI-powered products.
Experience evaluating AI models and selecting appropriate production architectures.
Strong understanding of APIs, data infrastructure, and scalable backend services.
Ability to design production systems that balance reliability, scalability, latency, and cost.
Strong fundamentals in system design, software architecture, and software quality.
Experience working at high-growth, VC-backed technology companies.
Demonstrated progression in ownership, technical scope, or engineering leadership.
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Strong product mindset with demonstrated ability to build 0-to-1 products.
Preferred Qualifications
Experience working as an early engineering hire or startup founder.
Experience building core product features at high-growth startups.
Experience working in Series C–F environments or similarly fast-growing companies.
Experience building products with significant customer and business impact.
Bachelor's or higher degree in Computer Science, Mathematics, or a related technical field.
Degree from a highly regarded engineering university.
Coursework or practical experience in Artificial Intelligence or Machine Learning.
Experience with advanced AI agent architectures, LLM applications, or agentic workflows.
Soft Skills
Strong communication and collaboration skills.
Excellent product intuition and customer empathy.
High ownership mentality and strong accountability.
Comfortable operating in ambiguous and rapidly changing environments.
Highly intellectually curious and eager to explore emerging AI technologies.
Structured and analytical problem solver.
Self-directed, proactive, and execution-oriented.
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Strong collaboration across Product, Engineering, Design, and executive leadership.
Comfortable rapidly learning new technologies.
Passion for AI and customer-facing software products.
Benefits & Perks
Base salary of $200,000–$320,000.
Competitive equity package.
Remote-first work environment.
Preference for San Francisco Bay Area candidates for occasional in-person collaboration.
Visa sponsorship available, with openness to most visa types.
Direct collaboration with the CTO and executive leadership.
High-impact ownership across AI strategy and product development.
Opportunity to work on frontier LLM applications and AI agent systems.
Opportunity to influence major AI product lines.
High-performance engineering culture.
Rapid career growth and opportunities for increasing technical ownership.
Opportunity to help define the future of AI-powered customer engagement and enterprise software.
Why Join
This is an opportunity to build ambitious AI agent technology for enterprise software at the intersection of artificial intelligence, product engineering, data infrastructure, and customer intelligence.
As a Software Engineer, AI Agents, you will own critical AI initiatives from research and prototyping through production, collaborate directly with executive leadership, and help shape intelligent systems that enable businesses to make better decisions through AI-powered automation.
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