AI Engineer

Conifers is transforming security operations centers (SOCs) with CognitiveSOC™, its AI SOC platform, enabling enterprises and MSSPs to achieve SOC excellence.

By leveraging agentic AI, Conifers helps security teams investigate complex, multi-tier incidents with speed, accuracy, and trust. 

Led by seasoned cybersecurity leaders and backed by SYN Ventures, PICUS Capital, and others, the company brings deep industry knowledge and innovation to an increasingly AI-driven threat landscape.

We’re building an AI-native security platform that enables autonomous agents to investigate real-world threats at a massive scale.

About The Role :

You’ll build real AI systems running in production, where intelligent agents and robust backend architecture work together to investigate security incidents for real customers.

If you enjoy turning cutting-edge AI into reliable, scalable production systems, you’ll feel at home here.

What You’ll Do :

• Design, build, and ship major end-to-end features
• Lead development of AI agents operating in production environments
• Architect and scale Python-based distributed backend systems
• Make key technical decisions that shape the evolution of an AI-first platform
• Build systems that combine LLMs, reasoning flows, orchestration, and classic backend engineering
• Work closely with Product, Design, Security Researchers, and GTM teams
• Bring clarity, ownership, and strong engineering standards to the team

What You’ll Bring :

• 5+ years of software engineering experience
• Strong software engineering background, with the ability to build production-grade systems beyond research, experimentation, or prompt engineering
• Hands-on experience building and operating production-grade AI/LLM systems, ideally including agentic workflows, tool-calling, orchestration, evaluations, or multi-step reasoning systems
• Strong backend expertise, including Python, distributed systems, and cloud-native architecture
• Experience designing systems that balance AI components with reliable backend infrastructure
• Ability to take ambiguous problems and turn them into structured, scalable solutions
• Strong ownership mindset and bias for action
• Full professional fluency in English

Nice to Have :

• Experience in the cybersecurity domain
• Experience building security or AI-driven products
• Experience working in a fast-paced startup environment

Our Commitment : 

We are an equal opportunity employer and value diversity at our company.

All qualified applicants will receive consideration without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

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