Agentic Full-Stack Engineer

About Securin

Securin is an AI-native cybersecurity company. Our Preemptive Exposure Management Platform turns exposure data into clear decisions — giving organizations the confidence to know which risks are exploitable, what to fix first, and how to act before attackers do.

Our Engineering Values

We build with agents and verify with humans — treating AI as a genuine collaborator, holding agent-generated code to the same review standard as human-authored code, and shipping features only when test coverage and security checks are in place. We take end-to-end ownership, write maintainable code, and bring security awareness into every decision — not as a checkbox, but as a core discipline.

The Role

A high-agency software engineer who uses coding agents as a force multiplier: generating design specs with AI, curating those outputs with engineering judgment, and shipping high-quality features at pace on the Securin cybersecurity platform.

Responsibilities

● Feature Development

Design and ship full-stack features for the Securin platform end-to-end — using AI coding agents (Claude) to generate specs and boilerplate, then curating those outputs with engineering rigor, security context, and architectural judgment before finalizing. Work with teams in the US and India to facilitate communication, operations, and design. Required to attend 1-2 US evening meetings a week to sync with India based teams.

● Agent & Automation Engineering

Build agentic workflows and automation pipelines that streamline engineering — and enforce a human-in-the-loop review process ensuring every AI-produced change is critically evaluated for correctness, security, and fit before it reaches production.

● Platform & Infrastructure

Architect and maintain cloud-native SaaS services on AWS, contributing to API design, data modeling, and microservices architecture that power real-time threat intelligence ingestion and delivery.

● Security Mindset

Apply secure-by-design principles throughout development and work alongside Securin's security researchers to translate vulnerability intelligence domain knowledge into robust platform capabilities.

Requirements

● 3+ years building production SaaS

● Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.

● Public cloud experience required (AWS preferred, GCP or Azure acceptable)

● Deep familiarity with:

○ Containerization

○ Serverless architecture

○ Event-driven architecture

○ RESTful API design

Culture-Forward Building with AI: What We Expect - Role-Specific

○ Hands-on, daily use of AI coding agents is a prerequisite.

○ Must be able to critically review agent-generated code and specs for:

● Hallucinations

● Security flaws

● Architectural drift before merging.

General

Securin is committed to becoming an AI-native organization where GenAI is embedded into how every team works - not just as an occasional assistant, but as a core part of delivery, operations, and how our expertise compounds over time. We expect every employee to actively integrate

GenAI tools into daily workflows - Automating routine tasks, accelerating research and analysis, drafting documents, and building reusable AI-powered processes for their function. You should understand the limitations of GenAI (including inaccuracies and data sensitivity boundaries), follow data classification rules, and continuously improve your AI proficiency. As you grow, we expect you to move beyond using GenAI to building with it - designing agent workflows, contributing reusable skills, and helping Securin compound its Proactive Exposure Management expertise faster than any competitor can replicate.

● Demonstrated ability to use GenAI tools (e.g., Claude, ChatGPT, etc.) for daily work - drafting, research, summarization, data analysis, code generation, or workflow automation as relevant to the role.

● Working knowledge of GenAI limitations including hallucination risk, context window constraints, and data sensitivity boundaries; ability to validate AI-generated output before acting on it.

● Familiarity with prompt engineering techniques - structuring multi-step instructions, providing context, and iterating on output quality to achieve production-grade results.

● Comfort with agentic AI workflows - using, designing, or building multi-step AI agents that execute tasks autonomously with human-in-the-loop validation.

● Awareness of AI security fundamentals - prompt injection risks, data classification rules, sandboxed execution, and responsible handling of sensitive data in AI workflows.

● Familiarity with connecting GenAI tools to internal data sources, APIs, and enterprise systems.

● Ability to contribute reusable AI skills, templates, agent configurations, or automation workflows to a shared repository for team-wide use.

● Willingness to learn and adopt new AI tools as they evolve; participation in AI adoption sprints, hackathons, and knowledge-sharing within the team.

Location : Remote (For candidates outside Chennai), Hybrid model (2 days a week to office - for candidates from Chennai)