2 months ago
Responsibilities
- Design and build Gong’s internal agentic framework using tools such as LangChain, LangSmith, ADK, and similar ecosystems.
- Build offline and online agent evaluation frameworks, quality metrics, regression detection, and experimentation infrastructure.
- Develop observability capabilities including tracing, logging, monitoring, cost tracking, and safety guardrails for AI agents.
- Create APIs, SDKs, and abstractions that help product teams build, test, and operate agents according to platform standards.
- Design Python and Java integrations for adoption across Gong’s backend ecosystem.
- Build the agent runtime and execution engine for orchestration, tool calls, state and memory management, and reliable distributed execution.
- Address agent lifecycle, orchestration, reliability, evaluation drift, platform adoption, security, and cost-control challenges.
- Establish company-wide frameworks, evaluation practices, observability standards, and AI safety and quality controls.
Requirements
- 7+ years of backend engineering experience with strong system design and platform-building expertise.
- Hands-on production experience designing and building agentic systems or agent frameworks involving orchestration, tool usage, memory management, and multi-step workflows.
- Experience extending or building frameworks using LangChain, LangGraph, ADK, or similar agent orchestration frameworks.
- Experience designing, implementing, and operating production-grade AI agents with failure handling, retries, observability, and real user traffic.
- Strong understanding of AI evaluation methodologies, including agent evaluations, prompt evaluation, regression testing, and quality monitoring.
- High proficiency in Python for production-grade AI frameworks and services.
- Familiarity with Java and experience integrating backend platforms or tooling into Java-based systems.
- Experience building observability, monitoring, or platform tooling for distributed systems.
- Experience with cloud platforms and scalable microservices architectures.
- Strong analytical, problem-solving, communication, and cross-team enablement skills.
Benefits
- Flexible hybrid work model combining work from home, on the go, and the office.
- Employee ownership, autonomy, and opportunities to make company-wide impact.
Categories
About Gong.io
Transform how your revenue team wins with AI✨ The Gong Revenue AI Operating System brings customer data, insights, and workflows together in one trusted place. 5,000+ companies rely on Gong to understand their business better, automate workflows, and win more. Follow our page for more updates.
