Technical Solutions Engineer

Kapalins Pty; India; Remote; INR 1,200,000 - 2,400,000; Full time

Job summary

Kapālins is seeking a Pre-Sales Engineer to translate the technical depth of our AI-native security platform into compelling stories for CISOs, CTOs, and security architects. You will run live demos, answer tough questions, and help prospects see how Kapālins secures their AI estate.

The role requires genuine expertise in LLM security, prompt injection, and enterprise compliance, with responsibility for PoCs, demos, and technical responses across RFPs and security assessments.

Qualifications

• Atleast 3+ years of relevant experience in cybersecurity and/or AI/LLM security — pre-sales, sales engineering, security engineering, or a security-adjacent technical role.
• Working understanding of LLM/AI-specific threat vectors: prompt injection, jailbreaking, model poisoning, adversarial ML, data leakage, agentic AI risk.
• Familiarity with security frameworks relevant to AI: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF — and exposure to regulatory frameworks like DPDP, APRA CPS 234/230, or ISO 42001.
• Demonstrated ability to explain complex technical concepts to a non-technical or executive audience, and to hold your own with a highly technical one (CISO/security architect level).
• Comfort running live product demonstrations and improvising through unscripted technical questions.

Responsibilities

• Deliver technical product demonstrations of the Kapālins platform — AI Trust Index, Proxy/Probe/Connector observation modes, LLM Hardening, Policy Shield, and Compliance Shield — tailored to each prospect's AI estate and threat model.
• Partner with Sales on discovery calls to understand a prospect's AI/LLM footprint (models, copilots, agents) and map it to relevant platform capabilities.
• Respond to technical questions on prompt injection, jailbreaking, model integrity, data leakage, and agentic AI runtime risk in real time, with credibility
• Own technical responses for RFPs/RFIs, security questionnaires, and architecture reviews
• Map customer compliance requirements (APRA CPS 234/230, DPDP Act, ISO 42001, NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS) to platform features and evidence output
• Run and support proof-of-concept (PoC) deployments, including connecting a prospect's AI providers and interpreting resulting risk scores
• Act as the technical bridge between prospects, Sales, and Product — feeding real buyer objections and gaps back into the roadmap
• Build and maintain demo environments, sandbox scenarios (e.g., simulated attack/injection scenarios), and reusable technical collateral

Skills

Pre-Sales Engineer

Cybersecurity

AI security

Technical storytelling

Live demos

Tools

LLM APIs OpenAI

Anthropic

Azure OpenAI

AWS Bedrock

Vertex AI

Job description

Work mode: remote (required travelling)

Experience: atleast 3+ years Technical Presales experience in cybersecurity and AI security products

*Only immediate joiners or maximum 30 days NP candidates preferred*

ABOUT KAPALINS:

Kapalins builds an AI-native security and governance platform for enterprises adopting generative AI: managing AI risk, model and data exposure, governance and compliance across LLMs, copilots and agentic systems.

Enterprises in India are deploying GenAI far faster than they are governing it. Security and risk teams are being asked to sign off on systems they cannot see. That gap is our market, and it is opening now.

THE ROLE:

We're looking for a Pre-Sales Engineer who can translate the technical depth of our platform into a compelling, credible story for CISOs, CTOs, and security architects — and prove it live. You'll be the technical voice in the room alongside our sales team: running demos, answering the hard architecture and threat-model questions, and helping prospects see exactly how Kapālins secures their AI estate.

This is not a scripted-demo role. You need to genuinely understand LLM security, agentic AI risk, and enterprise compliance well enough to improvise under technical questioning from senior security buyers.

WHAT YOU WILL OWN:

• Deliver technical product demonstrations of the Kapālins platform — AI Trust Index, Proxy/Probe/Connector observation modes, LLM Hardening, Policy Shield, and Compliance Shield — tailored to each prospect's AI estate and threat model
• Partner with Sales on discovery calls to understand a prospect's AI/LLM footprint (models, copilots, agents) and map it to relevant platform capabilities
• Respond to technical questions on prompt injection, jailbreak defense, model integrity, data leakage, and agentic AI runtime risk in real time, with credibility
• Own technical responses for RFPs/RFIs, security questionnaires, and architecture reviews
• Map customer compliance requirements (APRA CPS 234/230, DPDP Act, ISO 42001, NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS) to platform features and evidence output
• Run and support proof-of-concept (PoC) deployments, including connecting a prospect's AI providers and interpreting resulting risk scores
• Act as the technical bridge between prospects, Sales, and Product — feeding real buyer objections and gaps back into the roadmap
• Build and maintain demo environments, sandbox scenarios (e.g., simulated attack/injection scenarios), and reusable technical collateral

WHAT WE ARE LOOKING FOR:

• Atleast 3+ years of relevant experience in cybersecurity and/or AI/LLM security — pre-sales, sales engineering, security engineering, or a security-adjacent technical role
• Working understanding of LLM/AI-specific threat vectors: prompt injection, jailbreaking, model poisoning, adversarial ML, data leakage, agentic AI risk
• Familiarity with security frameworks relevant to AI: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF — and ideally exposure to regulatory frameworks like DPDP, APRA CPS 234/230, or ISO 42001
• Demonstrated ability to explain complex technical concepts to a non-technical or executive audience, and to hold your own with a highly technical one (CISO/security architect level)
• Comfort running live product demonstrations and improvising through unscripted technical questions

STRONGLY PREFERRED:

• Prior pre-sales/sales engineering experience at a cybersecurity or AI security product company
• Hands-on familiarity with LLM APIs and platforms (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI) or enterprise copilots (Microsoft 365 Copilot, GitHub Copilot)
• Experience with API integrations, gateways/proxies, or SIEM/XDR ecosystems
• Startup or fast-scaling product-company experience, comfortable with ambiguity and a fast-evolving product

WHAT SUCCESS LOOKS LIKE:

• Prospects leave every demo with a clear, credible understanding of how Kapālins governs their specific AI estate.
• Technical objections in the sales cycle get resolved fast and accurately, shortening deal cycles.
• PoCs convert at a high rate because the technical story lands cleanly with security buyers.

Know more: www.kapalins.com

Kapalins is an equal opportunity employer.