Location: Dallas, TX | On-site OnlyThis is a
100% on-site position based at our WeWork office in Dallas, TX. Candidates must be based in the Dallas-Fort Worth area and available to work from our office five days per week.
Remote and hybrid work arrangements are not available.Work Authorization: Applicants must be legally authorized to work in the United States without requiring employer-sponsored visa support, now or in the future. Conifers.ai does not provide visa sponsorship for this position.
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.
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 :
- 6+ 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
We offer a competitive compensation package, including salary, equity, and benefits.#LI-AM1 #LI-Onsite 
