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: $200,000–$400,000 + Competitive Equity

We're 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.

What You Will Do

• 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 company’s 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.

Ideal Background

• 5–10 years of software engineering experience (exceptional candidates with 2–3 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.

Preferred

• 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.

Compensation and Benefits

• Base salary: $200,000–$400,000.
• Competitive equity package.
• Visa sponsorship available.
• Opportunity to work directly with some of the world's 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.