

The Mission
Your mission is to build and ship an autonomous Agentic sub-system that sits at the core of our fraud prevention platform. This is not a backlog ticket, it is a company-defining initiative. Your code will process data from more than 50M devices. The results will be directly reflected in fraud prevention metrics, dependent business variables (revenue, margin), company valuation, and your personal stock option pool.
You will function as a high-ownership, high-autonomy builder who sets the technical direction, writes production code daily, and collaborate with other engineers/researchers, product & platform teams and other fraud-fighters in the company.
General
Seniority: 5+ years experience in a high-tech/startup universe
Employment Type: Employee or Contractor
(just technicality, the spirit is that it’s “Engineer, Fraud-Figher & Shareholder“ anyway)Schedule: Full-time
Work Arrangement: Full remote possible, with availability for in-person gatherings, collaboration sessions as well as team-buildings
Responsibilities
Implement the Agent End-to-End. Design the Agentic AI from first principles – its reasoning loop, tool use, orchestration, context management, and multi-step decision logic. You own the full lifecycle: technical specification → implementation → deployment → monitoring → iteration. There is no separate team to hand this off to.
Collaborate Cross-Functionally. Work directly with other engineers, the ML/AI research team, platform engineers, product managers, and founders. You are expected to reach across traditional role boundaries. If a data pipeline needs fixing or a model needs debugging, you don't say "not my job.
Mentor and Elevate the Team. Share expertise in AI-augmented development practices. Introduce and maintain best practices in security, scalability, reliability, and maintainability.
Own Quality, Observability, and Compliance. Implement comprehensive observability (structured logs, metrics, distributed tracing) to detect issues proactively. Ensure compliance with relevant data protection regulations.
Qualifications:
Experience
Experience with cloud platforms such as AWS
Experience designing, building and operating LLM-powered solutions
Experience designing, building and operating large-scale production systems
Experience with building and operating distributed architecture
Attitude
Passion for building great software, that solves real problem of real people
Skills (to be verified)
Education/skills/understanding equivalent to Bachelor's degree in Computer Science
(acquired by any means)Good communication and presentation skills (expressing clearly, maximizing information to data ratio)
Strong problem-solving skills and the ability to think critically
System of values compatible with ThreatMark (applies for all positions):
Extreme Ownership: Taking initiative, driving results, and passionately owning project outcomes
Deep Understanding: Preference of deeply understanding topics and systems from first-principles over opinions, guesses and superficial
Integrity: Consistently adhering to strong moral and ethical principles, acting with honesty, accountability and transparency
Collaboration: Building positive, efficient relationships, expressing in precise and efficient way
Innovation and Adaptability: Continuously seeking improvement, being open to new ideas, and making data-driven decisions
Nice to Have:
Experience with chat bots
Experience with Python
Experience with event-driven architecture (asynchronous, message passing, …)
Knowledge of statistical analysis and ML
Experience in the Cybersecurity domain
Previous experience in a startup environment
Leadership skills and passion to help other people perform at their best
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ThreatMark
"Senior Software Engineer (& Tech Lead of AI Agent Development)"






