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Ema is building next-generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary platform enables companies to delegate the majority of repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, and Okta executives, and serial entrepreneurs. We are well-funded by world-class investors and angels. Ema is based in Silicon Valley and Bangalore. Ema’s mission is to define the future of work by building an AI-native enterprise where intelligent agents handle the majority of operational execution. To achieve this, Ema must deeply understand and integrate with the vast ecosystem of tools, data sources, and platforms used across modern organizations. The AI Systems & Integrations team is responsible for expanding Ema’s capabilities across applications, MCPs, workflows, and data systems. The team ensures Ema can interact with, reason across, and take action within the environments our customers rely on every day. This role is critical to expanding the breadth and reliability of Ema’s intelligence.
Job Responsibility:
Integrate Ema with a growing set of enterprise applications and SaaS tools
Configure, test, and maintain MCP-based integrations, APIs, webhooks, and data connectors
Run and write scripts, write javascript code for workflows, manage Git workflows, and investigate integration issues
Optimize onboarding flows for new applications and ensure seamless operation in production
Ensure Ema has the right capabilities to take actions across connected systems
Build or modify small utilities, scripts, and transformations to bridge functionality gaps
Partner with internal teams to design integration patterns that maximize Ema’s autonomy
Conduct deep evaluations on agent behavior, tool-calling accuracy, and reasoning quality
Analyze structured outputs, logs, and error cases to identify model weaknesses
Work with modeling and product teams to provide high-quality feedback that improves the EmaFusion model
Design evaluation scenarios, test harnesses, and repeatable experiments
Work with Product, Engineering, and Customer teams to understand integration needs
Help bring new customer use cases to life by expanding Ema’s system capabilities
Translate customer workflows into integration requirements and actionable test plans
Requirements:
1-3 years of experience in an AI evaluation, integrations, testing, or similar engineering or product adjacent role
Bachelors degree in an engineering discipline
High Agency: You move fast, self-manage, and take ownership of outcomes
Technically Fluent: Comfortable with scripts, Git, API docs, CLI tools, and light debugging
Systems Thinker: You understand how applications, data flows, and APIs connect
Analytical: You enjoy inspecting logs, identifying failure points, and running structured evaluations
Builder at Heart: You love creating products using Agentic AI to solve meaningful problems
AI-Curious: You follow emerging AI developments and learn new tools quickly
Clear Communicator: You can explain both problem and solution clearly to cross-functional teams, both in verbal and written formats
Nice to have:
Experience building or maintaining integrations, APIs, or automation workflows
Exposure to MCPs, agent frameworks, or LLM-based tool calling
Familiarity with no-code/low-code builders (Zapier, Make, n8n)
Experience with AI-native coding tools like Cursor or Lovable
Experience running or designing AI evaluations or red-teaming processes