Member of Technical Staff - Enterprise Platform

Composio; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Lunch and dinner provided

$200/month learning budget

$1,000/month AI tool budget

High-ownership role with leadership exposure

Competitive salary and equity

Job summary

Composio, based in Bengaluru, is seeking a skilled platform engineer to build foundational infrastructure for AI agents connecting to diverse applications. Candidates should have extensive experience in systems design, platform scaling, and AI product development. The role is critical for ensuring the governance, observability, and compliance of enterprise AI operations. The position offers a competitive salary, equity, and an opportunity to work in an innovative environment with a focus on high ownership and individual empowerment.

Qualifications

• Experience building platforms at scale with complexity.
• Strong understanding of system abstractions and foundations.
• Experience in shipping enterprise product capabilities.
• Hands-on experience with AI products.
• Ability to make impactful architecture decisions.

Responsibilities

• Define governance, observability, and control for AI agents.
• Build secure integration gateways for enterprise AI.
• Implement scalable platform primitives.
• Ensure enterprise-grade architecture and compliance.
• Develop a repeatable product experience for onboarding.

Skills

Platform scaling experience

Systems design thinking

AI product development

Complex system integration

Security and compliance expertise

Job description

About Composio

We're building the learning infrastructure that transforms AI agents into true digital workers. While today's agents can reason and plan, they fail to do meaningful work because they lack real experience operating in apps. Composio gives agents continuously improving, reusable skills across 1000+ production-grade app connectors including Gmail, Linear, and Hubspot. We handle authentication, tool routing, retries, failure handling, and observability, making every action safe and dependable.

With a $25M Series A led by Lightspeed and 3x ARR growth since the beginning of 2026, we're scaling fast and building for durability.

About the Role

Every enterprise is racing to make AI work - not as a demo, but as infrastructure that runs their business. Composio is becoming the critical layer that makes this possible: the platform that connects AI agents to 250+ real-world applications with production-grade auth, execution, and reliability.

We've built this for the cloud. Now we need to build it for the enterprise - and that means rethinking the platform from the ground up with the right abstractions, primitives, and architectural decisions that let us serve a massive, diverse set of enterprise customers without bespoke engineering for each one. This is a founding role. You'll define how Composio shows up in the enterprise world.

Your Impact

• Agent infrastructure platform: The foundational layer that enterprise AI agents run on - governance, observability, and control planes for MCP-powered agent ecosystems. You'll define how organizations monitor, audit, and manage AI agents operating at scale across their systems
• The integration gateway: The secure, reliable bridge between an enterprise's AI agents and the outside world - every SaaS tool, internal system, and API they need to act on. Not just connectors, but a platform-grade gateway with the right trust, permissioning, and routing primitives
• Platform primitives for scale: Multi-tenancy, isolation, configuration, and extensibility abstractions that let Composio serve thousands of enterprise customers without linear engineering cost
• Enterprise-grade architecture: Deployment flexibility, security, and compliance as first-class platform capabilities - not bolted-on afterthoughts
• The repeatable deployment motion: Turn enterprise onboarding from a services engagement into a product experience. Shorter cycles, fewer custom touches, more self-serve

What you bring

• You've built platforms at genuine scale - not just high user counts, but high complexity: many customer types, deployment models, and integration surfaces
• You think in abstractions and primitives. Your instinct is to find the right foundational model, not to solve each problem individually
• You’ve shipped enterprise product capabilities (deployment flexibility, security, admin tooling, compliance) and understand them as product problems, not just checkboxes
• You’ve built or shipped an AI product - or you're the person who can't stop tinkering. You're building agents on weekends, stress-testing the latest models, experimenting with MCP, and forming your own opinions on where agent architectures are headed. You have a point of view on this space, not just a resume line
• You're a force multiplier. When you join a team, the entire product moves faster because the platform decisions are right

This role demands deep platform thinking. You've designed systems where the abstractions were the product - where getting the primitives right meant the difference between a product that scales and one that drowns in customer-specific code.

You've done this inside large organizations and seen what enterprise-grade actually means when thousands of teams depend on your platform. But you've also operated in environments where you had to build fast, make tradeoffs, and ship before the architecture was perfect.

The combination matters. Big-company pattern recognition with small-company intensity.

What We Offer

• Lunch and dinner provided in the office
• $200/month learning and development budget
• $1,000/month AI tool experimentation budget to automate, accelerate, and improve how you work
• High-ownership role with direct exposure to leadership and company-building decisions
• Competitive salary and equity

Our Culture

We believe in individual ownership and high trust, empowering people to identify and tackle the most important problems in the business. We are an in-person team that defaults to using agents to do work faster and better than we could on our own. Above all, we share a sense of curiosity and excitement about what agents may ultimately be capable of achieving.