Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
We’re looking for an engineer who knows how to make AI systems that do more than just generate text — they take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You’ll be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and software security.
Day to Day- Design and implement LLM-based agents that can reason, call tools, and operate within real-world environments (e.g., codebases, networked systems)
- Develop and evaluate workflows where agents detect insecure patterns and propose or perform remediations
- Tune foundation models for specific tasks like cryptographic inspection, refactoring, or protocol understanding
- Build toolchains and memory architectures (e.g., vector DBs, scratchpads, tool registries) to support advanced agent behavior
- Collaborate with engineers and domain experts to integrate agents into real-time systems and observability pipelines
- Strong experience with AI agent frameworks (e.g., LangChain, ReAct, AutoGPT, OpenAgents, or custom architectures)
- Deep understanding of LLM behaviors, tool use, function calling, and multi-step reasoning
- Ability to connect AI systems to real tools and data sources (e.g., code parsers, static analyzers, network logs)
- Software engineering fluency (e.g., Python, Rust, or Go) and ability to own model + infrastructure integration end-to-end
- Systems thinking — can model workflows, manage agent state, and reason about downstream impact
- Experience applying AI to code reasoning, static analysis, or software remediation
- Knowledge of cryptographic protocols and common vulnerabilities
- Built agents that autonomously identify and fix misconfigurations or security flaws
- Exposure to compliance automation or large-scale infrastructure audits
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Top Skills
Similar Jobs
.png)
.png)
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
