Applied AI engineer

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.

The Opportunity 

As an Applied AI and LLMOps Engineer at Seezo, you will play a key role in advancing our GenAI platform for cybersecurity. You will help operationalize AI models, drive innovation in LLM evals and observability, and help build the backbone of our security tooling for engineering teams everywhere. We are moving fast. This is a unique chance to learn, contribute, and see your work have an immediate impact.

The challenge

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

• Impact: You will help shape AI-driven security solutions for real engineering teams
• Innovation: Work with the latest in GenAI, LLMOps, and applied AI methodologies
• Growth: Learn quickly in a fast-paced, hands-on startup environment
• Ownership: Influence product decisions and technical direction from day one
• Learning: Dive deep into applied AI, cybersecurity, and large-scale system operations

You'll love it 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 Interview 

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.