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Full-Stack Engineer

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Full-Stack Engineer in USA new

  • Oscilar
  • Full time
  • Email
  • Palo Alto, CA

Responsibilities

  • Design and build full-stack systems for Oscilar’s AI Agent Platform, including backend APIs, data pipelines, and interactive frontends.
  • Implement serverless, event-driven processing with AWS Lambda and Python for risk signals and fraud patterns.
  • Develop agentic frameworks, LLM-driven automation, reasoning systems, GenAI applications, embeddings, and retrieval pipelines for fraud, risk scoring, AML, data storytelling, graph reasoning, and case automation.
  • Collaborate with founders and product leaders on the architecture and roadmap of the agentic platform.
  • Prototype, ship MVPs, test hypotheses with production data, and iterate weekly.

Requirements

  • 4+ years of experience as a Full-Stack or Backend Engineer.
  • Experience with TypeScript, Python, React, Node, or similar technologies.
  • Ability to take products from zero to one in fast-moving environments.
  • Strong understanding of distributed systems, system design, and cloud-native architectures, including AWS, Kubernetes, and modern CI/CD.
  • Bonus experience with AWS Bedrock, LLM frameworks such as LangGraph, Guardrails, or LangChain, multi-agent or autonomous workflows, and financial risk, real-time decisioning, or fraud detection systems.

Benefits

  • Competitive salary and equity packages, including a 401k.
  • Remote-first culture with the ability to work from anywhere.
  • 100% employer-covered comprehensive health, dental, and vision insurance with a top-tier plan for US employees and dependents.
  • Unlimited PTO policy.
  • Regular team events and offsites in a family-friendly environment.
  • Professional development and learning opportunities.
  • Opportunity to work at an AI-first company focused on protecting online transactions.

Salary: $153k - $213k/yr

Oscilar

Oscilar builds a no-code, AI-driven risk decisioning platform for real-time fraud, credit, and compliance assessment. Banks, fintechs, and other digital businesses use it to analyze signals, detect anomalies, and automate approvals via APIs and workflows; revenue comes from SaaS subscriptions and...

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