Company: A leading product startup in AI Security Space (one of our Clients)
Position: Full-Stack Engineer
Experience: 2+years
Location: Bengaluru, India - Onsite
Job ID: TOT2025102
Company Overview
We're a seed‑stage startup headquartered in San Francisco and Bangalore, building the world's most advanced security tooling for Gen AI systems. Our mission is to secure AI agents, chatbots, assistants, and copilots by proactively surfacing existing vulnerabilities before attackers can exploit them.
Our flagship produc, is the industry's first fully‑autonomous red‑teaming agent for GenAI applications: relentlessly stress‑testing apps and models, breaking defenses, and guiding teams to stronger safeguards.
We open‑source much of our frontier research and believe in shipping fast, rapidly experimenting and leading innovation in the domain of AI Security and Safety. We’re backed by credible investors and are focused on building foundational systems in a fast-growing and critical space. We’re backed by top VCs.
Role Overview
You'll be joining us as a full‑stack engineer, working shoulder‑to‑shoulder with the CTO. The systems you ship in the next 6 months will define the technical DNA of the company and power the experiences our first customers rave about.
- Build, and maintain end‑to‑end features across our platforms - from React/Next.js front‑end views to Python back‑end services and Postgres data models.
- Rapidly prototype new agent capabilities and get them into users' hands in days, not weeks.
- Integrate LLMs, vector stores, and toolchains to orchestrate autonomous agent workflows.
- Own the full SDLC: architecture → implementation → testing → CI/CD → maintenance.
- Lead code reviews, set engineering best practices, and - over time - mentor junior hires or contractors.
- Work directly with the founders on product and strategy; your voice will shape both what we build and how we build it.
What You Bring
- 2+ years of professional full‑stack experience shipping production software.
- Strong Python fundamentals (FastAPI/Django/Flask) and deep SQL/PostgreSQL know‑how (schema design, migrations, query optimisation).
- A portfolio/GitHub of impressive projects demonstrating end‑to‑end ownership.
- (Good to have) Prior hands‑on experience building AI agents or agent tooling (e.g. LangChain, semantic search, RAG pipelines, autonomous task runners).
- Familiarity with productivity tools such as Cursor, GitHub Copilot, or similar.
- Startup mindset: bias toward action, comfort with ambiguity, and ability to ship quickly.
- Ability to take full ownership of features and collaborate effectively with cross‑functional teammates.
Nice‑to‑Haves:
- Front‑end chops with React, Next.js, and TypeScript.
- Experience with Docker/Kubernetes and cloud infra (AWS/GCP).
- Familiarity with DevOps, CI/CD, and observability stacks (Grafana, Prometheus, OpenTelemetry).
How We Work
🚀 Velocity over perfection: we iterate fast, learn faster.
💬 High bandwidth: daily stand‑ups, async updates, and open Slack channels.
🔑 Ownership & autonomy: everyone owns business outcomes, not just tickets.
🗣️ Transparent feedback: we give and ask for feedback early and often.
Your New Team
Here's what makes this opportunity special:
- You'll be working alongside the world's best offensive security researchers.
- Our team comes from top CTF teams globally and has repeatedly proven themselves against industry incumbents.
- We've built careers breaking into the world's most secure systems. Now we're applying that same expertise to secure the AI revolution.
- You'll learn from and collaborate with researchers who've found critical vulnerabilities, published groundbreaking research, and shaped how the industry thinks about AI security.
Why Join Us
- Ground floor at a rocket ship: Well-funded seed stage with massive market opportunity.
- Work on unsolved problems: AI security challenges that don't have textbook answers yet.
- Learn from the best: Team of world-class offensive security researchers.
- Real impact: Protect enterprises from evolving AI threats at scale.
- Cutting-edge tech: Access to latest AI models and enterprise systems.
Perks & Other details
- Competitive base salary.
- Equity (ESOPS) that actually means something.
- The freedom to experiment without 12 layers of approval.
- Early‑stage equity with real upside.
- Top‑of‑the‑line MacBook & budget for peripherals.
- Flexible PTO : build & recharge cycles are equally important.
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