What are the responsibilities and job description for the Full-Stack Engineer – AI Agent Platform (Fraud, Risk & AML) position at Oscilar?
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
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
Benefits
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.
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.
- 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.
Benefits
- 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