Applied AI Ops Engineer
Interested in this role?
At Seezo, we build at the intersection of AppSec and GenAI to make world-class security accessible to every engineering team. We're seeking a Lead Software Engineer to help us advance the capabilities of our GenAI-powered security platform.
Sandesh (ex-Head of Security @ Razorpay) and Rakshitha (ex-Head of Customer Success @ PingSafe) founded Seezo. With over 20 years of Cybersecurity experience, they have a deep understanding of the challenges faced by security teams and are committed to solving them. We are funded by Accel, one of India’s largest global VC firms.
Seezo's Culture
Writing is Thinking
Most teams rely on Slack. At Seezo, our operating system is Google Docs. Documenting helps us clarify our thoughts, communicate better, and build with intention.
Proactive involvement
If you'd like to try a quick experiment, discuss branding, or improve a workflow, go ahead. We value Proactivity in work and communication.
Love for Security
Security is not just a feature; it is the foundation of what we do. We prioritize Security in every engineering decision we make.
Engineering first
Many companies claim to be engineering-first, but for us, it is a daily reality. Our team regularly dives deep into topics such as testing practices and architecture. Quality matters at every step.
Open opinion exchange
We value different opinions. Ideas flow freely, backed by facts, experience, and sometimes emotion. Every discussion remains respectful and constructive, regardless of how spirited it becomes.
Geography
The US has the largest Cybersecurity market in the world and the largest concentration of world-class AppSec teams as well. That is why we HQ'ed Seezo in the US, and we will focus on the region heavily (including hiring leadership and technical talent). But we are in the business of selling bits, not atoms, which means we can broaden our horizon beyond the US and India (where most of our team is currently based). We want to serve industries and geographies that are traditionally underserved by our industry and help
The Challenge
Seezo is leveraging Gen AI to make world-class AppSec accessible to every engineering team. Our first product (Seezo SDR) helps security teams perform security design reviews on every new feature their engineering team builds. To get a feel of the product, try us out at https://app.seezo.io.
The Opportunity
Your mission at Seezo will include:
Building and operationalizing LLM evals pipelines for cybersecurity applications
Fine-tuning and deploying LLMs for security-focused use cases
Implementing monitoring, tracing, and observability for LLM performance, reliability, and drift
Creating security-focused benchmarks and test sets using the latest AI models
Integrating LLM workflows into Seezo, including automated code scanning and validation
Developing agent-based systems for automating security requirement validation and feedback
Why you'll love it here
Ownership
Influence product decisions, software architecture, and technical direction from day one.
Impact
Shape robust software systems and AI-powered security solutions used by real engineering teams.
Innovation
Work with the latest software engineering methodologies, GenAI, and LLMOps tools.
Growth
Learn quickly in a fast-paced, hands-on startup environment with exposure to both full-stack engineering and AI.
Learning
Dive deep into applied AI, cybersecurity, cloud and on-prem infrastructure, and large-scale distributed systems.
You'll thrive here if you
Have a solid foundation or strong interest in AI, Machine Learning, or GenAI
Enjoy building, evaluating, and deploying AI models in real-world scenarios
Are motivated by the challenge of making AI work for complex security problems
Like to take initiative and learn new technologies quickly
Appreciate the technical and operational complexity of building AI for cybersecurity
Bonus points for
Experience with LLMOps, observability, or monitoring in ML pipelines
Personal or academic projects involving LLMs, GenAI, or AI research
Background or interest in cybersecurity and secure engineering
Familiarity with Prompt Engineering, RAG, or frameworks like DSPy
Open-source contributions, blogging, or sharing your work publicly
About the hiring process
After a short evaluation task, you can expect two to three interviews focusing on your technical ability and cultural fit. Join us to help define the future of cybersecurity and software engineering with AI!
Irrespective of the outcome, for every candidate we interview, we will provide feedback and the rationale for our decision
Interested in this role?