Full-Stack Engineer - AI Agent Platform (Fraud, Risk & AML)
O
OscilarFinTech
Work from anywhereFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSNode.jsPythonKubernetesTypeScriptReactCI/CDAWS LambdaGenerative AILangChain
Requirements
- 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.
- 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 (Bonus).
Responsibilities
- 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.
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