About The Position

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. This is an on-site role based in Dallas, TX, and is not open to remote work. Candidates must be authorized to work in the U.S. without current or future visa sponsorship. Strong professional English communication skills are required. Why This Role Is Unique : You’ll work on real AI systems in production, not on demos or internal tools. Our platform combines LLMs, reasoning flows, and orchestration layers with a large-scale backend system that security teams rely on every day. If you enjoy turning cutting-edge AI into reliable, scalable production systems, you’ll feel at home here.

Requirements

  • 5+ years of software engineering experience
  • Experience building and operating AI/LLM-based systems in production
  • Strong backend expertise (Python, distributed systems, 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 Haves

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

Responsibilities

  • 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

Benefits

  • We offer a competitive compensation package, including salary, equity, and benefits.
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