Oscilar
Full-Stack Engineer – AI Agent Platform (Fraud, Risk & AML)
Oscilar Palo Alto
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Mid level
- Stated salary
- $152,500 – $212,500 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 22 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
- Shape the future of trust in the age of AI
- At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place .
Why join us:
Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.
Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.
Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.
Job Description
We’re now building a new AI Agent Platform to supercharge this mission — creating intelligent, autonomous systems that proactively surface insights, act on risk events, and continuously learn from billions of signals across our data engine.
We’re looking for engineers who think fast, prototype faster, and love solving open-ended problems at the intersection of AI, full-stack development, and risk intelligence.
What You’ll Do
Design and build full-stack systems powering Oscilar’s next-gen AI agents — from backend APIs and data pipelines to fast, interactive frontends.
Implement serverless architectures using AWS Lambda and Python for high-scale, event-driven processing of risk signals and fraud patterns.
Experiment with agentic frameworks, LLM-driven automation, and reasoning systems to address fraud, risk scoring, and AML-related challenges.
Collaborate directly with founders and product leaders to shape the architecture and roadmap of our agentic platform.
Move fast — ship MVPs, test hypotheses with production data, and iterate weekly.
Apply practical AI — using GenAI, embeddings, and retrieval pipelines for data storytelling, graph reasoning, and case automation.
What You’ll Bring
4+ years of experience as a Full-Stack or Backend Engineer (TypeScript, Python, React, Node, or similar).
Proven ability to take products from zero to one in fast-moving environments.
Strong understanding of distributed systems, system design, and cloud-native architectures (AWS / Kubernetes / modern CI/CD).
Curiosity and hacker mentality — you learn new tools quickly and aren’t afraid to dive deep.
Bonus: Experience with AWS Bedrock for building and scaling generative AI applications.
Bonus : experience with LLM frameworks (LangGraph, Guardrails, LangChain, etc.) or building multi-agent or autonomous workflows.
Bonus : background in financial risk, real-time decisioning, or fraud detection systems.
Benefits
Compensation : Competitive salary and equity packages, including a 401k
Flexibility : Remote-first culture — work from anywhere
Health : Comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Balance : Unlimited PTO policy
Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product
Culture : Family-Friendly environment; Regular team events and offsites
Development : Unparalleled learning and professional development opportunities
Impact: Making the internet safer by protecting online transactions
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