Head of Engineering

About Us

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 product, 
ARTEMIS
, 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.

-- Why This Role Matters

You'll be joining us as the lead 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. You will also lead a team of developers in India, handling day to day tasks like task delegation, followup on updates and
YOU WILL BE HANDS ON CODING, A LOT (please don't apply if you thin you can't be the one who ships the most code in the team every month)

-- What You'll Do

• Build, and maintain end‑to‑end features across our platforms - from 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

• 3+ 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.
• 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.
• Familiarity with DevOps, CI/CD, and observability stacks (Grafana, Prometheus, OpenTelemetry).
• Startup mindset: bias toward action, comfort with ambiguity, and ability to 
  ship quickly
  .
• Willingness to go all‑in : long hours, occasional weekend sprints - to make the mission succeed. (IMPORTANT)
• Ability to take full ownership of features and collaborate effectively with cross‑functional teammates.

Nice‑to‑Haves

• Front‑end chops with React, , and TypeScript.
• Familiarity with AI red-teaming, prior experience with prompt injections, jailbreaking chatbots, agents.

-- 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.

-- Benefits & Perks

• Early‑stage equity with real upside.
• Attractive base pay
• Top‑of‑the‑line MacBook & budget for peripherals.
• Flexible PTO : build & recharge cycles are equally important.

-- How to Apply

Shoot an email to  with:

1. Your CV, LinkedIn and Github.
2. Links to 2–3 projects you're proud of (GitHub/live demos).
3. A short (≤200 words) note on the most technically challenging project you've built - include the challenges faced and how you tackled them, we want to understand the problem and the solution in depth.

NOTE: Applications through LinkedIn easy apply won't be accepted.