
Founding Engineer AI Agent Security & Governance Platform
- ₹30,000 – ₹45,000 • 5.0% – 12.0%
- |Remote (+2)
- |No experience required
- |Cofounder
Remote only
Available
About the job
Role:
You'll be the founding engineer and technical partner building an AI-agent security and governance platform the control layer that sits between an AI agent's decision and its real-world action, enforcing what's allowed, holding risky or irreversible actions for approval before they commit, and keeping a tamper-proof record of everything an agent does. You'll build the MVP alongside the founder (a hands-on, technical co-builder), own the architecture, and help shape the product from the ground up.
Responsibilities
Design and build the MVP end-to-end alongside the founder from an empty repo to a working system.
Set up the tech stack, architecture, cloud infrastructure and deployment (CI/CD).
Build the core components:
Design and build the MVP end-to-end alongside the founder from an empty repo to a working system.
Setting up the tech stack, architecture, cloud infrastructure and deployment (CI/CD).
Build the core platform components across backend, security and infrastructure (details shared with shortlisted candidates).
Design and implement real-time policy, control and audit mechanisms for AI-agent actions.
Build integrations with common agent frameworks and external tools/APIs.
Own security, reliability and data handling end-to-end it's a security product.
Set coding standards and keep the codebase clean enough to scale to a team later.
Help shape the technical roadmap and decide what to build first.
Iterate quickly on feedback from early design partners and customers.
Requirements:
Hands-on experience building AI agent / LLM security, governance or infrastructure (e.g. policy enforcement, guardrails, tool-use controls, agent identity, runtime monitoring).
Strong backend and infrastructure / systems engineering; solid Python and/or Go.
Comfortable working on cloud (AWS / GCP) and building production systems.
Good understanding of agentic AI risks prompt injection, tool misuse, unsafe autonomy and human-in-the-loop patterns.
Able to architect and ship largely independently, and take ownership from idea to working product.
Nice to have:
Prior early-stage / startup or founding-engineer experience.
Familiarity with security frameworks for AI (e.g. OWASP LLM Top 10, MITRE ATLAS).
Some frontend ability for the approval / review interface.
Interested? **
**Send me a note with what you've built in this space → [[email protected]/https://www.linkedin.com/in/bharath-r-8a9402183/]
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