Applied AI Engineer

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Simbian

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

Artificial Intelligence • Cybersecurity • Software as a Service

Simbian is a cutting-edge technology company specializing in autonomous AI agents designed to enhance security intelligence, speed, and efficiency for organizations. Its platform leverages AI to transform security analysts into programmers without the need for coding, offering integration with existing security infrastructures without disruption. Simbian's AI Agents deliver increased productivity and cost savings, automating common tasks and preserving best practices. The company's solutions support a unified security architecture and communicate in natural language, working seamlessly with various security products. Simbian is proud of its SOC2 compliance, ensuring high security standards and aims to revolutionize security practices through its hallucination-free trusted large language models (LLMs). Offering both SaaS and on-premise solutions, Simbian caters to a global audience, making security management more strategic and effective.

📋 Description

• 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 • Experiment with prompting, model-facing strategies, tool-use patterns, and context engineering • Analyze agent failures and turn failure modes into product and engineering improvements • Build guardrails, policy layers, and safe-execution mechanisms for security-sensitive environments • Design and run evaluations measuring agent quality, reliability, regressions, and edge cases • Build evaluation pipelines, test harnesses, scoring frameworks, and golden datasets • Create feedback loops connecting real-world task data and production failures to evaluation and development • Analyze production traces and agent behavior to improve solve rate, usefulness, and reliability • Design and build scalable backend services powering AI agents and cybersecurity workflows • Build high-scale, multi-tenant systems supporting multiple customer environments securely • Work with microservices, asynchronous execution, event-driven architectures, and distributed systems • Build ingestion, indexing, retrieval, and agent-memory layers for security data • Design reliable execution systems with observability, traceability, monitoring, and data-quality guarantees • Build and maintain integrations with SIEM, SOAR, EDR, and NDR platforms • Own features end-to-end from architecture and implementation through deployment, monitoring, debugging, and production iteration • Collaborate with product, research, infrastructure, security, and customer-facing teams • Help shape user interfaces and workflows for interacting with AI agents • Contribute to architectural decisions and technical direction

🎯 Requirements

• 4–7 years of professional software engineering experience; the broader role description also states 5–8 years • Strong backend development experience, preferably with Python, Go, or Node.js • Strong understanding of distributed systems fundamentals • Experience with microservices, APIs, asynchronous execution, and event-driven systems • Hands-on experience with LLMs, Generative AI, or Applied AI • Experience with prompt engineering, RAG, embeddings/vector databases, LLM evaluation, tool/function calling, or agent frameworks • Experience building and deploying production software • Strong problem-solving and debugging skills • Ownership mindset and ability to take a problem from zero to shipped • Highly proficient in Python and comfortable with modern AI/ML tooling • Experience building and shipping ML/LLM-powered products or applying LLMs to engineering problems • Experience with LLMs, prompt engineering, RAG, embeddings, model evaluation, or agentic systems • Strong software engineering fundamentals and ability to write clean, maintainable, well-tested code • Bonus: experience with LangGraph, LangChain, or similar agent frameworks • Bonus: experience with model evaluation, fine-tuning, or code-generation models • Bonus: experience with developer tooling or AI coding systems • Bonus: experience with cybersecurity products, especially SIEM, SOAR, EDR, NDR, or security data pipelines • Bonus: experience with AWS, GCP, Azure, Docker, Kubernetes, and CI/CD • Bonus: experience building AI-agent evaluation frameworks, benchmark datasets, automated testing systems, observability, tracing, or production LLM monitoring • Strong academic background in Computer Science or a related field is preferred; graduates from IITs or other top-tier engineering institutions are preferred

🏖️ Benefits

• Build an AI-first cybersecurity platform from the ground up • Work at the intersection of AI, cybersecurity, and distributed systems • Solve problems where there isn't always an obvious playbook • Work directly with founders, researchers, security experts, and engineering leaders • Own meaningful problems end-to-end and see your work go directly into production • Be part of an early team where your technical decisions and ideas can have outsized impact • Ship fast, learn fast, and build systems that matter