Job Summary

We are looking for an Applied AI Engineer to help build the systems that make our AI agents powerful, reliable, and helpful in real-world cybersecurity environments. This role sits at the intersection of backend engineering, distributed systems, and applied AI. You will build the backend infrastructure that powers our agents while also working directly on agent behavior, improving how agents reason, use tools, retrieve context, handle failures, and complete complex tasks. The goal isn't simply to build models or backend services in isolation. It's to turn AI capabilities into dependable production systems that solve real customer problems. You'll work closely with research, engineering, product, and security teams to take ideas from experimentation to production and measure whether they improve agent performance.
Responsibilities
Design and iterate on AI agent behaviors across real-world cybersecurity and software engineering workflows.
Build multi-step agent workflows with tool calling, branching logic, retries, validation, and human-in-the-loop controls.




Develop tool schemas, execution strategies, context construction, memory, and retrieval mechanisms that improve agent performance.
Experiment with prompting, model-facing strategies, tool-use patterns, and context engineering.
Analyze agent failures and systematically turn failure modes into product and engineering improvements.
Build guardrails, policy layers, and secure-execution mechanisms for agents operating in security-sensitive settings.
Help define what good looks like for an agent completing complex tasks end-to end.
Requirements
Applied AI Agent Systems - Design and iterate on AI agent behaviors across real-world cybersecurity and software engineering workflows.
Help define what good looks like for an agent completing complex tasks end-to-end.
Evaluation Agent Performance - Design and run evaluations to measure agent quality, reliability, regressions, and edge cases.
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📌 Applied Ai Engineer Bengaluru
🏢 Simbian.ai
📍 Bengaluru