SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Gong is a Revenue AI Operating System that helps companies understand their teams and customers, automate sales workflows, and close more deals. The company serves 5,000+ customers globally and is building the next generation of AI-powered revenue intelligence.
As a Senior Backend Engineer on Gong's Agentic team, you will design and build production-grade AI agents that interact directly with customers. You'll own the backend systems enabling these agents to understand customer requests, reason over context and data, interact with tools and APIs, and take meaningful actions on behalf of customers. This is a new, high-impact team focused on building customer-facing agentic product experiences.
You'll work extensively in the agentic AI space, designing and building AI-powered applications that communicate with customers and solve real-world problems. The systems you build will combine LLMs, agents, tools, APIs, business logic, and Gong's data to deliver useful and reliable customer experiences at scale.
Key Responsibilities:
- Design, build, and operate production-grade AI agents in Python that interact directly with customers and help them accomplish real-world tasks
- Build multi-step agentic workflows that understand customer intent, maintain context, reason over information, use tools, call APIs, and take actions on behalf of customers
- Connect agents to Gong's APIs, data, internal services, and external systems so they can retrieve information and perform meaningful actions
- Build robust agent applications that handle failures, retries, timeouts, unexpected inputs, and other real-world edge cases while serving live customer traffic
- Measure and improve agent quality using production data, offline and online evaluations, regression testing, experimentation, and customer feedback
- Take end-to-end ownership of backend systems behind agentic product experiences, from design and implementation through deployment, operation, and continuous improvement
You'll solve customer interaction complexity, agentic application complexity, AI system reliability at scale, and product/engineering tradeoffs when building real-world AI applications. Your impact will be direct: building AI agents that help Gong's customers accomplish meaningful tasks faster and more effectively, turning emerging agentic capabilities into reliable, scalable product experiences, bringing AI agents from experimentation into robust production applications, and establishing strong engineering practices for building, evaluating, deploying, and continuously improving AI-powered applications in production.
The company operates a flexible hybrid work model.
Requirements:
- 7+ years of backend engineering experience with Python, with strong system design and application development expertise
- Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently
- Hands-on experience designing, building, and operating AI agents or agentic applications in production, including orchestration, tool usage, context and memory management, and multi-step workflows
- Experience building production applications with tools like LangChain, LangGraph, ADK, or similar agent orchestration frameworks
- High proficiency in Python for building production-grade AI applications and backend services
- Experience integrating AI-powered applications with APIs, databases, internal services, and external systems
- Experience building backend applications and services in distributed systems
- Strong analytical skills and the ability to reason about complex, evolving AI-driven applications
- Experience with cloud platforms and scalable microservices architectures
- Excellent communication skills and a strong product mindset, with experience working closely with product and engineering teams
