DataVisor
Software Engineer, AI Solutions
$130K–$250K
Mountain View, California · Full-time · Posted Sep 9, 2026
- Experience
- At least 1 year of full-time professional software engineering experience; internships are not counted. Role is open at junior and senior levels.
- Education
- BS in Computer Science, Computer Engineering, or Software Engineering. Other STEM degrees considered alongside a record of shipped production software.
About the job
Build reusable automation and internal tooling for fraud and AML client solutions, integrate it with DataVisor’s platforms, and support end-to-end client onboarding.
What you'll do
- Develop Python and shell plugins, skills, MCP servers, and onboarding tools; make solutions reusable across clients.
- Integrate tooling with the AI Sandbox, Vera, and platform APIs across environments.
- Set up client tenants, parse data and responses, connect third-party systems, and validate alerts end to end.
What they ask for
- At least 1 year of full-time professional software engineering experience building and shipping production systems; internships do not count.
- Demonstrated delivery of working software end to end, beyond prototypes or notebooks.
- Strong production-grade Python; comfort with shell and unfamiliar codebases. Java is expected for senior candidates and preferred for junior candidates.
- Experience with AWS and containerization (Docker/Kubernetes); evidence of building software used by others.
Nice to have
- MS; other STEM degrees may be considered alongside a record of shipped production software.
- TypeScript, LLM-powered agent workflows, distributed data frameworks, production ML, analytical databases, real-time decision engines, or fraud/risk domain knowledge.
Pay
USD 130K – 250K base salary; Total Compensation: Includes Base + Performance Bonus + Equity Options (amount not stated).
Tools
Python, shell, Java, AWS, Docker, Kubernetes, TypeScript, LangChain/LangGraph
AI focus
Build Claude Code plugins, skills, and MCP servers; integrate tooling with the AI Sandbox and Vera. LLM agent workflows are preferred but not required.
Model-written summary · the original posting is authoritative