Software Engineer, Agents

Location: San Francisco CA
Company Stage of Funding: Series C AI Company ($231M Raised)
Office Type: Onsite (5 Days Per Week)
Salary: $200000$400000 Competitive Equity

Were representing one of the fastest-growing enterprise AI companies building the future of customer experience automation. Their platform enables industry-leading organizations to deploy conversational AI agents across voice chat email SMS and other customer engagement channels helping millions of users receive faster more personalized support experiences.

Backed by top-tier investors including Andreessen Horowitz Accel Bain Capital Ventures Coatue and Index Ventures the company has raised over $231 million and is rapidly scaling its engineering organization. This is an opportunity to join a category-defining AI company at the forefront of agentic systems and enterprise AI adoption.

• Design build and deploy AI agents that automate complex customer interactions at enterprise scale.
• Own customer-facing AI deployments from initial implementation through ongoing optimization and iteration.
• Work directly with enterprise customers across industries including financial services healthcare hospitality and technology.
• Build scalable systems that support millions of customer interactions across multiple communication channels.
• Run experiments and evaluations on state-of-the-art language and voice models to improve agent performance.
• Identify patterns across customer deployments and help shape the evolution of the companys agent platform.
• Debug complex production issues across distributed systems model infrastructure and application layers.
• Collaborate with Product Research and Engineering teams to develop new capabilities and platform improvements.
• Drive technical decisions and contribute to architecture scalability reliability and developer productivity initiatives.
• Mentor junior engineers and help establish engineering best practices as the organization continues to scale.

• 510 years of software engineering experience (exceptional candidates with 23 years may also be considered).
• Strong proficiency in Python with experience building complex production systems.
• Experience building full-stack applications using TypeScript and modern web technologies.
• Demonstrated success operating in high-growth startups or highly technical environments.
• Proven ability to take ownership of projects and deliver end-to-end solutions.
• Strong debugging and problem-solving skills across deep technical stacks.
• Experience working directly with customers and translating business needs into technical solutions.
• Comfortable operating in ambiguous environments with significant ownership and autonomy.
• Strong communication skills and ability to represent the company with enterprise customers.

• Experience building AI-powered products agents copilots workflow automation systems or LLM-based applications.
• Previous founder startup operator or early employee experience.
• Experience at high-growth companies such as Ramp Rippling Uber or similarly talent-dense organizations.
• Background in competitive programming ACM-ICPC or other highly technical environments.
• Experience with multimodal AI systems voice technologies or conversational AI platforms.
• Strong Computer Science degree from a top technical university.
• Familiarity with asynchronous programming and distributed systems.
• Experience leading technical initiatives or mentoring engineers.

• Base salary: $200000$400000.
• Competitive equity package.
• Visa sponsorship available.
• Opportunity to work directly with some of the worlds largest enterprises deploying AI agents at scale.
• Significant ownership and autonomy over customer-facing AI systems.
• Fast-growing engineering organization with clear leadership and career growth opportunities.
• Collaborative high-performance onsite culture focused on execution and innovation.
• Exposure to cutting-edge advancements in LLMs multimodal AI voice systems and enterprise AI infrastructure.
• Opportunity to help define the future of AI-powered customer experiences.