Full-Stack Engineer – AI Agent Platform, Fraud, Risk & AML

Oscilar

Full-Stack Engineer developing AI Risk Decisioning Platform at Oscilar. Build systems for risk management and fraud detection with AI technology in a fast-paced environment.

Posted 7/29/2026full-timeOscilar Palo Alto • California • 🇺🇸 United StatesMid-LevelSenior💰 $152,500 - $212,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Full-Stack Development, particularly with TypeScript, Python, and React, while leveraging AWS for serverless architectures and cloud-native solutions. Proven ability to innovate and iterate rapidly in high-stakes environments, addressing complex challenges in fraud detection and risk management.

Highest-signal resume keywords

Full-Stack DevelopmentAWS LambdaPython ProgrammingDistributed SystemsGenerative AI Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptPythonReactNode.jsAWSKubernetesCI/CDServerless ArchitectureData PipelinesRisk Scoring

Soft Skills

CuriosityProblem-SolvingCollaborationAdaptabilityFast Learning

Tools & Technologies

AWS BedrockLLM FrameworksLangGraphGuardrailsLangChain

Industry Keywords

Fraud DetectionRisk ManagementAMLEvent-Driven ProcessingData Storytelling

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsKubernetesNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

Compensation: Competitive salary and equity packages, including a 401k
Flexibility: Remote-first culture — work from anywhere
Health: 100% Employer covered 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